Π. Ράδογλου-Γραμματίκης και Π. Σαρηγιαννίδης, “Υλοποίηση Συστήματος Ανίχνευσης Εισβολών σε Περιβάλλον Android για Ασύρματα Δίκτυα Πρόσβασης,” Διπλωματική Εργασία, Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πανεπιστήμιο Δυτικής Μακεδονίας, Κοζάνη, 2016.
Panagiotis
Radoglou-Grammatikis, PhD
Top 2% of Scientists in Stanford University’s List
- R&D Director, Partner at K3Y Ltd
- Co-Founder, Board of Directors Member at MetaMind Innovations P.C.
- Postdoc Researcher at ITHACA Lab of University of Western Macedonia
About.
Panagiotis Radoglou-Grammatikis received the Diploma degree (MEng, five-year program) and PhD from the Dept. of Electrical and Computer Eng., Faculty of Eng., University of Western Macedonia, Greece, in 2016 and 2023, respectively. His main research interests are in the area of cybersecurity and Artificial Intelligence (AI). He has published more than 100 research papers in international scientific journals, conferences and book chapters. Since 2021, he has been included in Stanford University’s list (published by Elsevier) of the Top 2% of Scientists Worldwide. In addition, he has received six Best Paper Awards, and in 2024, he was honoured with the Outstanding Service Award by the IEEE SMC Technical Committee on Homeland Security. He also serves as a guest editor for Discover Internet of Things (Springer Nature) and Electronics (MDPI), and contributes as a reviewer for numerous scientific journals. Currently, he is the R&D Director and a Partner at K3Y Ltd, where he coordinates the technical activities and strategy of K3Y in several R&D projects. He is also a postdoctoral researcher at the ITHACA Lab of the University of Western Macedonia and a co-founder of MetaMind Innovations P.C., the first spin-off of the University of Western Macedonia. Finally, he serves as an independent expert for the European Commission and is a member of IEEE, ACM, and the Technical Chamber of Greece.
Experience.
R&D Director, Partner
April 2023 – PresentMy role in K3Y Ltd focuses on coordinating the research and development startegy of the company.
Technical Manager
April 2021 – March 2023My role in K3Y Ltd focuses on coordinating the technical activities of K3Y in various projects (such as H2020 SPIDER, H2020 SANCUS, H2020 5G-INDUCE, H2020 DRYADS, Η2020-MSCA Swiftv2x and JAUNTY). More information for each project is given below.
Co-Founder, Board of Directors Member
May 2021 – PresentMy role in MetaMind Innovations P.C. focuses mainly on coordinating the cybersecurity projects of the company. More information for each project is given below.
Postdoc Researcher
Oct 2023 – PresentITHACA Lab – University of Western Macedonia
Postdoc researcher in R&D projects; Grants writer
Research Associate
Feb 2017 – March 2023ITHACA Lab – University of Western Macedonia
Research associate in R&D projects, such as H2020 SPEAR, H2020 SDN-microSENSE, H2020 TERMINET, H2020 EVIDENT, H2020 ELECTRON and MARS. More information for each project is given below.
Grants Writer
Feb 2017 – Feb 2023ITHACA Lab – University of Western Macedonia
Proposal writing in the context of Horizon 2020, Horizon Europe and national funding schemes.
Teaching Assistant | Lab Associate
Feb 2017 – Feb 2023ITHACA Lab – University of Western Macedonia
- Course: Y11 – Computer and Network Security
- Course: Y2 – Analysis and Simulation of Communication Networks
- Course: E9 – Queuing Systems
- Course: YY – Basic Principles of Internet of Things
Software Developer
Jul 2015 – Sep 2016Development of Mobile Applications (Android), REST APIs
Publications.
Also see Google Scholar, ORCID and ResearchGate.
- 36Journals
- 64Conferences
- 4Book Chapters
- 12Honors & Awards
- 4,734Citations
- 29h-index
- 56i10-index
- 31R&D Projects
108 of 108 publications
Journals
36
- J36
K. Foteinos, M. Linardakis, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “Visual hand gesture recognition with deep learning: A comprehensive review of methods, datasets, challenges and future research directions,” Neurocomputing, vol. 704, Art. no. 134793, Dec. 2026, doi: 10.1016/j.neucom.2026.134793.
- J35
D. C. Asimopoulos, P. Radoglou-Grammatikis, G. Th. Papadopoulos, and P. Sarigiannidis, “Beyond vulnerabilities: A comprehensive survey of adversarial attacks across domains,” Computer Science Review, vol. 61, Art. no. 100963, Aug. 2026, doi: 10.1016/j.cosrev.2026.100963.
- J34
N. Sachpelidis-Brozos, E. Katsaros, P. Radoglou-Grammatikis, G. Kalitsios, A. Sarigiannidis, G. C. Seritan, I. Politis, C. Xenakis, S. Goudos, and P. Sarigiannidis, “Hacking intelligence: Mapping the anatomy of adversarial threats in artificial intelligence with MITRE ATLAS,” Computer Science Review, vol. 61, Art. no. 100923, Aug. 2026, doi: 10.1016/j.cosrev.2026.100923.
- J33
J. Cani, C. Diou, S. Evangelatos, V. Argyriou, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “Illicit Object Detection in X-Ray Imaging Using Deep Learning Techniques: A Comparative Evaluation,” IEEE Access, vol. 14, pp. 27171–27208, 2026, doi: 10.1109/ACCESS.2026.3663982.
- J32
E. Iturbe, C. Dalamagkas, P. Radoglou-Grammatikis, E. Rios, and N. Toledo, “A pattern-aware LSTM-based approach for APT detection leveraging a realistic dataset for critical infrastructure security,” Future Generation Computer Systems, vol. 178, Art. no. 108308, May 2026, doi: 10.1016/j.future.2025.108308.
- J31
G. Amponis, T. Lagkas, P. Bouzinis, P. Radoglou-Grammatikis, A. Sarigiannidis, P. Sarigiannidis, and V. Argyriou, “Introducing Energy Efficient Routing in UAV-Satellite NTNs for Dynamic 6G Interconnectivity,” IEEE Transactions on Communications, vol. 74, pp. 1050–1065, 2026, doi: 10.1109/TCOMM.2025.3634253.
- J30
V. Moysiadis, P. Radoglou-Grammatikis, E. Mourikis, M. Zevgara, D. N. Skoutas, C. Skianis, and P. Sarigiannidis, “M‐SADR: Mobile Self Adaptive Data Rate for Enhanced LoRa End‐Device Connectivity on the Move,” International Journal of Communication Systems, vol. 38, no. 15, Art. no. e70222, Oct. 2025, doi: 10.1002/dac.70222.
- J29
C. Dalamagkas, P. Radoglou-Grammatikis, P. Bouzinis, I. Papadopoulos, T. Lagkas, V. Argyriou, S. Goudos, D. Margounakis, E. Fountoukidis, and P. Sarigiannidis, “Federated detection of open charge point protocol 1.6 cyberattacks,” Complex Engineering Systems, vol. 5, no. 2, Jun. 2025, doi: 10.20517/ces.2025.04.
- J28
C. Chaschatzis, C. Karaiskou, C. Iakovidou, P. Radoglou-Grammatikis, S. Bibi, S. K. Goudos, and P. G. Sarigiannidis, “Detection of Wild Mushrooms Using Machine Learning and Computer Vision,” Information, vol. 16, no. 7, p. 539, Jun. 2025, doi: 10.3390/info16070539.
- J27
T. Kotsiopoulos, P. Radoglou-Grammatikis, Z. Lekka, V. Mladenov, and P. Sarigiannidis, “Defending industrial internet of things against Modbus/TCP threats: A combined AI-based detection and SDN-based mitigation solution,” International Journal of Information Security, vol. 24, no. 4, Art. no. 157, Aug. 2025, doi: 10.1007/s10207-025-01076-2.
- J26
P. Radoglou-Grammatikis, P. S. Bouzinis, I. Makris, T. Lagkas, V. Argyriou, G. Th. Papadopoulos, P. Fouliras, G. Seritan, and P. Sarigiannidis, “AI4FIDS: Multimodal Federated Intrusion Detection,” IEEE Transactions on Emerging Topics in Computing, vol. 14, no. 3, pp. 812–826, Jul. 2026, doi: 10.1109/TETC.2025.3562346.
- J25
P. S. Bouzinis, P. Radoglou-Grammatikis, I. Makris, T. Lagkas, V. Argyriou, G. Th. Papadopoulos, P. Sarigiannidis, and G. K. Karagiannidis, “StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems,” IEEE Transactions on Network and Service Management, vol. 22, no. 4, pp. 2944–2955, Aug. 2025, doi: 10.1109/TNSM.2025.3564387.
- J24
P. Alimisis, I. Mademlis, P. Radoglou-Grammatikis, P. Sarigiannidis, and G. Th. Papadopoulos, “Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions,” Artificial Intelligence Review, vol. 58, no. 4, Art. no. 112, Jan. 2025, doi: 10.1007/s10462-025-11116-x.
- J23
G. A. Kakamoukas, T. D. Lagkas, V. Argyriou, S. K. Goudos, P. Radoglou-Grammatikis, S. Bibi, and P. G. Sarigiannidis, “A Novel Air-to-Ground Communication Scheme for Advanced Big Data Collection in Smart Farming Using UAVs,” IEEE Access, vol. 13, pp. 16564–16583, 2025, doi: 10.1109/ACCESS.2025.3532393.
- J22
I. Mademlis, M. Mancuso, C. Paternoster, S. Evangelatos, E. Finlay, J. Hughes, P. Radoglou-Grammatikis, P. Sarigiannidis, G. Stavropoulos, K. Votis, and G. Th. Papadopoulos, “The Invisible Arms Race: Digital Trends in Illicit Goods Trafficking and AI-Enabled Responses,” IEEE Transactions on Technology and Society, vol. 6, no. 2, pp. 181–199, Jun. 2025, doi: 10.1109/TTS.2024.3514683.
- J21
I. Makris, A. Karampasi, P. Radoglou-Grammatikis, N. Episkopos, E. Iturbe, E. Rios, N. Piperigkos, A. Lalos, C. Xenakis, T. Lagkas, V. Argyriou, and P. Sarigiannidis, “A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions,” Computer Science Review, vol. 56, Art. no. 100717, May 2025, doi: 10.1016/j.cosrev.2024.100717.
- J20
P. Radoglou-Grammatikis, E. Katsaros, E. Syrmos, G. P. Katsikas, D. Klonidis, V. Argyriou, T. Lagkas, and P. Sarigiannidis, “Trustworthy Analytics in ETSI ZSM: A 5G Security Case Study,” IEEE Open Journal of the Communications Society, vol. 6, pp. 3292–3304, 2025, doi: 10.1109/OJCOMS.2024.3505555.
- J19
N. Piperigkos, A. Gkillas, G. Arvanitis, S. Nousias, A. Lalos, A. Fournaris, P. Radoglou-Grammatikis, P. Sarigiannidis, and K. Moustakas, “Distributed intelligence in industrial and automotive cyber–physical systems: a review,” Frontiers in Robotics and AI, vol. 11, Art. no. 1430740, Oct. 2024, doi: 10.3389/frobt.2024.1430740.
- J18
N. Rodis, C. Sardianos, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions,” IEEE Access, vol. 12, pp. 159794–159820, 2024, doi: 10.1109/ACCESS.2024.3467062.
- J17
G. Amponis, T. Lagkas, V. Argyriou, P. Radoglou-Grammatikis, K. Kyranou, I. Makris, and P. Sarigiannidis, “Channel-Aware QUIC Control for Enhanced CAM Communications in C-V2X Deployments Over Aerial Base Stations,” IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 9320–9333, Jul. 2024, doi: 10.1109/TVT.2024.3393614.
- J16
S. Giannakidou, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, S. Goudos, E. K. Markakis, and P. Sarigiannidis, “Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey,” Internet of Things, vol. 26, Art. no. 101171, Jul. 2024, doi: 10.1016/j.iot.2024.101171.
- J15
G. Amponis, P. Radoglou-Grammatikis, T. Lagkas, S. Ouzounidis, M. Zevgara, I. Moscholios, S. Goudos, and P. Sarigiannidis, “Generating full-stack 5G security datasets: IP-layer and core network persistent PDU session attacks,” AEU - International Journal of Electronics and Communications, vol. 171, Art. no. 154913, Nov. 2023, doi: 10.1016/j.aeue.2023.154913.
- J14
- J13
G. Amponis, P. Radoglou-Grammatikis, T. Lagkas, W. Mallouli, A. Cavalli, D. Klonidis, E. Markakis, and P. Sarigiannidis, “Threatening the 5G core via PFCP DoS attacks: the case of blocking UAV communications,” EURASIP Journal on Wireless Communications and Networking, vol. 2022, no. 1, Art. no. 124, Dec. 2022, doi: 10.1186/s13638-022-02204-5.
- J12
G. Amponis, T. Lagkas, K. Tsiknas, P. Radoglou-Grammatikis, and P. Sarigiannidis, “Introducing a New TCP Variant for UAV networks following comparative simulations,” Simulation Modelling Practice and Theory, vol. 123, Art. no. 102708, Feb. 2023, doi: 10.1016/j.simpat.2022.102708.
- J11
P. Radoglou-Grammatikis, P. Sarigiannidis, P. Diamantoulakis, T. Lagkas, T. Saoulidis, E. Fountoukidis, and G. Karagiannidis, “Strategic Honeypot Deployment in Ultra-Dense Beyond 5G Networks: A Reinforcement Learning Approach,” IEEE Transactions on Emerging Topics in Computing, vol. 12, no. 2, pp. 643–655, Apr. 2024, doi: 10.1109/TETC.2022.3184112.
- J10
I. Nwankwo, M. Stauch, P. Radoglou-Grammatikis, P. Sarigiannidis, G. Lazaridis, A. Drosou, and D. Tzovaras, “Data Protection and Cybersecurity Certification Activities and Schemes in the Energy Sector,” Electronics, vol. 11, no. 6, p. 965, Mar. 2022, doi: 10.3390/electronics11060965.
- J9
P. Radoglou-Grammatikis, P. Sarigiannidis, C. Dalamagkas, Y. Spyridis, T. Lagkas, G. Efstathopoulos, A. Sesis, I. L. Pavon, R. T. Burgos, R. Diaz, A. Sarigiannidis, D. Papamartzivanos, S. A. Menesidou, G. Ledakis, A. Pasias, T. Kotsiopoulos, A. Drosou, O. Mavropoulos, A. C. Subirachs, P. P. Sola, J. L. Domínguez-García, M. Escalante, A. M. Martín, B. Caracuel, F. Ramos, V. Gkioulos, S. Katsikas, H. C. Bolstad, D.-E. Archer, N. Paunovic, R. Gallart, T. Rokkas, and A. Arce, “SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture,” Digital, vol. 1, no. 4, pp. 173–187, Sep. 2021, doi: 10.3390/digital1040013.
- J8
P. Radoglou-Grammatikis, K. Rompolos, P. Sarigiannidis, V. Argyriou, T. Lagkas, A. Sarigiannidis, S. Goudos, and S. Wan, “Modeling, Detecting, and Mitigating Threats Against Industrial Healthcare Systems: A Combined Software Defined Networking and Reinforcement Learning Approach,” IEEE Transactions on Industrial Informatics, vol. 18, no. 3, pp. 2041–2052, Mar. 2022, doi: 10.1109/TII.2021.3093905.
- J7
I. Siniosoglou, P. Radoglou-Grammatikis, G. Efstathopoulos, P. Fouliras, and P. Sarigiannidis, “A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments,” IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1137–1151, Jun. 2021, doi: 10.1109/TNSM.2021.3078381.
- J6
P. Radoglou-Grammatikis, P. Sarigiannidis, E. Iturbe, E. Rios, S. Martinez, A. Sarigiannidis, G. Efstathopoulos, Y. Spyridis, A. Sesis, N. Vakakis, D. Tzovaras, E. Kafetzakis, I. Giannoulakis, M. Tzifas, A. Giannakoulias, M. Angelopoulos, and F. Ramos, “SPEAR SIEM: A Security Information and Event Management system for the Smart Grid,” Computer Networks, vol. 193, Art. no. 108008, Jul. 2021, doi: 10.1016/j.comnet.2021.108008.
- J5
P. Radoglou-Grammatikis, P. Sarigiannidis, G. Efstathopoulos, and E. Panaousis, “ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid,” Sensors, vol. 20, no. 18, p. 5305, Sep. 2020, doi: 10.3390/s20185305.
- J4
P. Diamantoulakis, C. Dalamagkas, P. Radoglou-Grammatikis, P. Sarigiannidis, and G. Karagiannidis, “Game Theoretic Honeypot Deployment in Smart Grid,” Sensors, vol. 20, no. 15, p. 4199, Jul. 2020, doi: 10.3390/s20154199.
- J3
P. Radoglou-Grammatikis, P. Sarigiannidis, T. Lagkas, and I. Moscholios, “A compilation of UAV applications for precision agriculture,” Computer Networks, vol. 172, Art. no. 107148, May 2020, doi: 10.1016/j.comnet.2020.107148.
- J2
P. I. Radoglou-Grammatikis and P. G. Sarigiannidis, “Securing the Smart Grid: A Comprehensive Compilation of Intrusion Detection and Prevention Systems,” IEEE Access, vol. 7, pp. 46595–46620, 2019, doi: 10.1109/ACCESS.2019.2909807.
- J1
P. I. Radoglou-Grammatikis, P. G. Sarigiannidis, and I. D. Moscholios, “Securing the Internet of Things: Challenges, threats and solutions,” Internet of Things, vol. 5, pp. 41–70, Mar. 2019, doi: 10.1016/j.iot.2018.11.003.
Conferences
64
- C64
I. D. Leonidas, P. Radoglou-Grammatikis, E. K. Markakis, M.-A. Kourtis, T. Lagkas, G. Th. Papadopoulos, V. Argyriou, and P. Sarigiannidis, “Quantum Machine Learning versus Machine Learning for Intrusion Detection in 5G Environments,” in Proc. 2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Reykjavik, Iceland, 2026, pp. 553–560, doi: 10.1109/DCOSS-IoT69657.2026.00091.
- C63
D.-C. Asimopoulos, V. Vitsas, P. Radoglou-Grammatikis, A. Sarigiannidis, T. Lagkas, C. Xenakis, E. K. Markakis, and P. Sarigiannidis, “Secure Artificial Intelligence with Lightweight Post-Processing Defense against Adversarial Attacks,” in Proc. 2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Reykjavik, Iceland, 2026, pp. 529–536, doi: 10.1109/DCOSS-IoT69657.2026.00088.
- C62
D.-C. Asimopoulos, V. Vitsas, P. Radoglou-Grammatikis, D. Pliatsios, G. Th. Papadopoulos, S. Goudos, T. Lagkas, E. K. Markakis, and P. Sarigiannidis, “Fingerprint-Based Selective Rejection for Improving Reliability Under Adversarial Attacks,” in Proc. 2026 15th International Conference on Modern Circuits and Systems Technologies (MOCAST), Palma, Spain, 2026, pp. 1–4, doi: 10.1109/MOCAST70204.2026.11626445.
- C61
T. Nevrataki, P. Radoglou-Grammatikis, A. Sarigiannidis, P. Sarigiannidis, and G. F. Fragulis, “A Survey on Federated Learning and Edge Computing: Applications, Advantages, and Challenges,” Engineering Proceedings, vol. 143, no. 1, Art. no. 39, Jul. 2026, doi: 10.3390/engproc2026143039.
- C60
D.-C. Asimopoulos, P. Radoglou-Grammatikis, V. Argyriou, T. Lagkas, P. Angelidis, V. Vitsas, P. Fouliras, I. Ktenidis, and P. Sarigiannidis, “Hybrid-FGPG: A Novel Fusion of Gradient and Geometric Transformations for Adversarial Vulnerability Evaluation,” in Proc. 2025 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2025, pp. 2000–2005, doi: 10.1109/GCWkshps68340.2025.11590917.
- C59
P. S. Bouzinis, P. Radoglou-Grammatikis, N. A. Mitsiou, T. K. Oikonomou, V. Koutsioumpa, G. Th. Papadopoulos, V. Kotsirou, G. K. Karagiannidis, and P. Sarigiannidis, “Mitigating Model Replacement Attacks in Federated Learning-based Intrusion Detection Systems,” in Proc. 2025 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2025, pp. 2006–2011, doi: 10.1109/GCWkshps68340.2025.11591058.
- C58
G. Amponis, P. Radoglou-Grammatikis, A. Sarigiannidis, G. Kakamoukas, T. Boufikos, T. Lagkas, V. Argyriou, T. Kollatou, and P. Sarigiannidis, “Jamming-Resilient Handover Triggering for Programmable 6G Radio Access Networks using Reinforcement Learning,” in Proc. 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), Athens, Greece, 2025, pp. 1–6, doi: 10.1109/NFV-SDN66355.2025.11349416.
- C57
E. Syrmos, P. Radoglou-Grammatikis, E. Katsaros, J. S. Banerjee, A. Kazakli, K. Panitsidis, V. Vitsas, and P. Sarigiannidis, “Beyond Container CVE Analysis: A GitOps-Based Attestation and Sandbox Framework for Container Supply Chains,” in Proc. 2025 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Patras, Greece, 2025, pp. 1–6, doi: 10.1109/SEEDA-CECNSM68644.2025.11329724.
- C56
A. Nousias, E. Katsaros, E. Syrmos, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, I. Moscholios, E. Markakis, S. Goudos, and P. Sarigiannidis, “Malware Detection in Docker Containers: An Image is Worth a Thousand Logs,” in Proc. ICC 2025 - IEEE International Conference on Communications, Montreal, QC, Canada, 2025, pp. 6401–6407, doi: 10.1109/ICC52391.2025.11161263.
- C55
M. Moutousi, A. El Saer, N. Nikolaou, A. Sanfeliu, A. Garrell, L. Bláha, M. Čech, E. K. Markakis, I. Kefaloukos, M. Lagomarsino, G. Margetis, E. Adamakis, A. Poulakidas, F. Lykokanellos, A. Stefanidou, J. Cani, P. Radoglou-Grammatikis, M. Siganos, A. Ajoudani, and G. Th. Papadopoulos, “TORNADO: Foundation Models for Robots that Handle Small, Soft and Deformable Objects,” in Proc. 2025 6th International Conference in Electronic Engineering & Information Technology (EEITE), Chania, Greece, 2025, pp. 1–13, doi: 10.1109/EEITE65381.2025.11166473.
- C54
K. Tsourdinis, G. Michoulis, G. Niotis, V. Argyriou, T. Lagkas, K. Psannis, P. Radoglou-Grammatikis, K. Chrysagis, and P. Sarigiannidis, “Unlocking 5G Network Slicing: A Comprehensive Survey on Blockchain Marketplace Utilizing NFTs, AI, and Advanced Resource Management,” in Proc. 2025 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2025, pp. 1–6, doi: 10.1109/ICCE63647.2025.10929953.
- C53
J. Cani, C. Diou, S. Evangelatos, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “X-Ray Illicit Object Detection Using Hybrid CNN-Transformer Neural Network Architectures,” in Proc. 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), Tucson, AZ, USA, 2025, pp. 210–217, doi: 10.1109/BigDataService65758.2025.00039.
- C52
G. Amponis, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, A. Sarigiannidis, N. Kazakli, T. Boufikos, and P. Sarigiannidis, “Fortified Control-Plane Encapsulation with Session-Key Derivation for Secure IP Mesh Routing,” in Proc. 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, 2025, pp. 944–949, doi: 10.1109/CSR64739.2025.11130165.
- C51
D. C. Asimopoulos, P. Radoglou-Grammatikis, P. Fouliras, K. Panitsidis, G. Efstathopoulos, T. Lagkas, V. Argyriou, I. Kotsiuba, and P. Sarigiannidis, “Surrogate-Guided Adversarial Attacks: Enabling White-Box Methods in Black-Box Scenarios,” in Proc. 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, 2025, pp. 950–956, doi: 10.1109/CSR64739.2025.11130067.
- C50
N. Kaloforidis, K.-F. Kollias, P. Radoglou-Grammatikis, P. Sarigiannidis, and G. F. Fragulis, “Autism Spectrum Disorder Classification in Children Using Eye-Tracking Data and Machine Learning,” Engineering Proceedings, vol. 107, no. 1, Art. no. 12, Aug. 2025, doi: 10.3390/engproc2025107012.
- C49
M. Siganos, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, S. Goudos, K. Psannis, K.-F. Kollias, G. Fragulis, and P. Sarigiannidis, “Explainable Artificial Intelligence for Object Detection in the Automotive Sector,” Engineering Proceedings, vol. 107, no. 1, Art. no. 44, Sep. 2025, doi: 10.3390/engproc2025107044.
- C48
E. Katsaros, G. Kalitsios, A. Kazakli, P. Radoglou-Grammatikis, and P. Sarigiannidis, “Multi-Task Learning for Video Processing: Going With the Flow,” in Proc. 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Lucca, Italy, 2025, pp. 467–474, doi: 10.1109/DCOSS-IoT65416.2025.00079.
- C47
L. Moysis, M. Lawnik, K.-F. Kollias, C. Volos, M. S. Baptista, S. Goudos, P. Radoglou-Grammatikis, E. Mourikis, P. Sarigiannidis, and G. F. Fragulis, “A Generalized Attention Deficit Disorder Chaotic Model With Soboleva Hyperbolic Tangent Functions,” in Proc. 2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST), Dresden, Germany, 2025, pp. 1–4, doi: 10.1109/MOCAST65744.2025.11083897.
- C46
A. Stefanidou, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “State of Play and Future Directions in Industrial Computer Vision AI Standards,” in Proc. 2025 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2025, pp. 1528–1533, doi: 10.1109/CAI64502.2025.00288.
- C45
S. Zindros, C. Chronis, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “Public Space Security Management Using Digital Twin Technologies,” in Proc. 2025 25th International Conference on Digital Signal Processing (DSP), Pylos, Greece, 2025, pp. 1–5, doi: 10.1109/DSP65409.2025.11074808.
- C44
A. Karampasi, P. Radoglou-Grammatikis, M. Pawlicki, R. Choraś, R. M. de Pozuelo, P. Sarigiannidis, D. Puchalski, A. Pawlicka, R. Kozik, and M. Choraś, “Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot,” in Proc. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 2024, pp. 270–277, doi: 10.1109/ICDMW65004.2024.00041.
- C43
D. C. Asimopoulos, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, I. Moscholios, J. Cani, G. Th. Papadopoulos, E. K. Markakis, and P. Sarigiannidis, “AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks,” in Proc. 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 2682–2689, doi: 10.1109/BigData62323.2024.10826110.
- C42
A. Stefanidou, J. Cani, T. Papadopoulos, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis, and G. Th. Papadopoulos, “Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment,” in Proc. 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 2836–2845, doi: 10.1109/BigData62323.2024.10825359.
- C41
D. Papatsaroucha, N. Astyrakakis, E. Pallis, P. I. Radoglou-Grammatikis, P. G. Sarigiannidis, and E. K. Markakis, “A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless Sensor Networks,” in Proc. 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 2811–2820, doi: 10.1109/BigData62323.2024.10825339.
- C40
G. Andronikidis, C. Eleftheriadis, Z. Batzos, K. Kyranou, N. Maropoulos, G. Sargsyan, P. Radoglou-Grammatikis, and P. Sarigiannidis, “AI-Driven Anomaly and Intrusion Detection in Energy Systems: Current Trends and Future Direction,” in Proc. 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, United Kingdom, 2024, pp. 777–782, doi: 10.1109/CSR61664.2024.10679380.
- C39
C. Dalamagkas, D. Asimopoulos, P. Radoglou-Grammatikis, N. Maropoulos, T. Lagkas, V. Argyriou, G. Sargsyan, and P. Sarigiannidis, “AI4COLLAB: An AI-based Threat Information Sharing Platform,” in Proc. 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, United Kingdom, 2024, pp. 783–788, doi: 10.1109/CSR61664.2024.10679429.
- C38
G. Tsoumplekas, V. Li, I. Siniosoglou, V. Argyriou, S. K. Goudos, I. D. Moscholios, P. Radoglou-Grammatikis, and P. Sarigiannidis, “Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings,” in Proc. 2024 IEEE 3rd Real-Time and Intelligent Edge Computing Workshop (RAGE), Hong Kong, 2024, pp. 1–6, doi: 10.1109/RAGE62451.2024.00016.
- C37
Y. Spyridis, V. Argyriou, A. Sarigiannidis, P. Radoglou-Grammatikis, and P. Sarigiannidis, “Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling,” in Proc. 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, 2024, pp. 455–461, doi: 10.1109/DCOSS-IoT61029.2024.00073.
- C36
I. Makris, N. Moschos, P. Radoglou-Grammatikis, N. Andriopoulos, N. Tzanis, K.-N. Malamaki, M. Fotopoulou, K. Kaousias, G. L. Tompros, and P. Sarigiannidis, “Exploring Load Forecasting: Bridging Statistical Methods to Deep Learning Techniques in Real-World Environment,” in Proc. 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, 2024, pp. 491–496, doi: 10.1109/DCOSS-IoT61029.2024.00078.
- C35
V. Stamatis, P. Radoglou-Grammatikis, A. Sarigiannidis, N. Pitropakis, T. Lagkas, V. Argyriou, E. Markakis, and P. Sarigiannidis, “Advancements in Federated Learning for Health Applications: A Concise Survey,” in Proc. 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates, 2024, pp. 503–508, doi: 10.1109/DCOSS-IoT61029.2024.00080.
- C34
I. Makris, N. Ntampakis, T. Lagkas, P. Radoglou-Grammatikis, S. K. Goudos, V. Argyriou, E. Fountoukidis, A. F. Skarmeta, P. F. Saura, and P. Sarigiannidis, “Elevating 5G Network Security: A Profound Examination of Federated Learning Aggregation Strategies for Attack Detection,” in Proc. 2023 IEEE Future Networks World Forum (FNWF), Baltimore, MD, USA, 2023, pp. 1–6, doi: 10.1109/FNWF58287.2023.10520474.
- C33
P. Radoglou-Grammatikis, E. Kioseoglou, D. Asimopoulos, M. Siavvas, I. Nanos, T. Lagkas, V. Argyriou, K. E. Psannis, S. Goudos, and P. Sarigiannidis, “Surveying Cyber Threat Intelligence and Collaboration: A Concise Analysis of Current Landscape and Trends,” in Proc. 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Naples, Italy, 2023, pp. 309–314, doi: 10.1109/CloudCom59040.2023.00057.
- C32
P. Radoglou-Grammatikis, G. Nakas, G. Amponis, S. Giannakidou, T. Lagkas, V. Argyriou, S. Goudos, and P. Sarigiannidis, “5GCIDS: An Intrusion Detection System for 5G Core with AI and Explainability Mechanisms,” in Proc. 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, 2023, pp. 353–358, doi: 10.1109/GCWkshps58843.2023.10464667.
- C31
G. Nakas, P. Radoglou-Grammatikis, G. Amponis, T. Lagkas, V. Argyriou, S. Goudos, and P. Sarigiannidis, “5G-Fuzz: An Attack Generator for Fuzzing 5GC, using Generative Adversarial Networks,” in Proc. 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, 2023, pp. 347–352, doi: 10.1109/GCWkshps58843.2023.10464928.
- C30
P. Radoglou-Grammatikis, M. Zafeiropoulou, M. Atanasova, P. Zlatev, S. Giannakidou, T. Lagkas, V. Argyriou, E. K. Markakis, I. Moscholios, and P. Sarigiannidis, “False Data Injection Attacks Against High Voltage Transmission Systems,” in Proc. 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 324–329, doi: 10.1109/DCOSS-IoT58021.2023.00060.
- C29
P. Radoglou-Grammatikis, A. Liatifis, C. Dalamagkas, A. Lekidis, K. Voulgaridis, T. Lagkas, N. Fotos, S.-A. Menesidou, T. Krousarlis, P. R. Alcazar, J. F. Martinez, A. Skarmeta, A. M. Martín, I. Angulo, J. V. Nieto, H. Koshutanski, R. D. Rodriguez, I. Siniosoglou, O. Mavropoulos, K. Kyranou, T. Saoulidis, A. Adir, R. Masalha, E. Bellini, N. Kolokotronis, S. Shiaeles, J. G. Franquelo, G. Lalas, A. Zalonis, A. Voulgaridis, A. Bintoudi, K. Votis, D. Pampliega, and P. Sarigiannidis, “ELECTRON: An Architectural Framework for Securing the Smart Electrical Grid with Federated Detection, Dynamic Risk Assessment and Self-Healing,” in Proceedings of the 18th International Conference on Availability, Reliability and Security, Benevento, Italy, 2023, pp. 1–8, doi: 10.1145/3600160.3605161.
- C28
D. C. Asimopoulos, P. Radoglou-Grammatikis, I. Makris, V. Mladenov, K. E. Psannis, S. Goudos, and P. Sarigiannidis, “Breaching the Defense: Investigating FGSM and CTGAN Adversarial Attacks on IEC 60870-5-104 AI-enabled Intrusion Detection Systems,” in Proceedings of the 18th International Conference on Availability, Reliability and Security, Benevento, Italy, 2023, pp. 1–8, doi: 10.1145/3600160.3605163.
- C27
M. Siganos, P. Radoglou-Grammatikis, I. Kotsiuba, E. Markakis, I. Moscholios, S. Goudos, and P. Sarigiannidis, “Explainable AI-based Intrusion Detection in the Internet of Things,” in Proceedings of the 18th International Conference on Availability, Reliability and Security, Benevento, Italy, 2023, pp. 1–10, doi: 10.1145/3600160.3605162.
- C26
S. Grigoriadou, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Makris, T. Lagkas, V. Argyriou, A. Lytos, and E. Fountoukidis, “Hunting IoT Cyberattacks With AI - Powered Intrusion Detection,” in Proc. 2023 IEEE International Conference on Cyber Security and Resilience (CSR), Venice, Italy, 2023, pp. 142–147, doi: 10.1109/CSR57506.2023.10224981.
- C25
B. Villarini, P. Radoglou-Grammatikis, T. Lagkas, P. Sarigiannidis, and V. Argyriou, “Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles,” in Proc. 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 2023, pp. 31–37, doi: 10.1109/IAICT59002.2023.10205591.
- C24
G. Amponis, P. Radoglou-Grammatikis, G. Nakas, S. Goudos, V. Argyriou, T. Lagkas, and P. Sarigiannidis, “5G Core PFCP Intrusion Detection Dataset,” in Proc. 2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), Athens, Greece, 2023, pp. 1–4, doi: 10.1109/MOCAST57943.2023.10176693.
- C23
P. Radoglou-Grammatikis, C. Dalamagkas, T. Lagkas, M. Zafeiropoulou, M. Atanasova, P. Zlatev, A.-A. A. Boulogeorgos, V. Argyriou, E. K. Markakis, I. Moscholios, and P. Sarigiannidis, “False Data Injection Attacks against Low Voltage Distribution Systems,” in Proc. GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 1856–1861, doi: 10.1109/GLOBECOM48099.2022.10000880.
- C22
G. Amponis, P. Radoglou-Grammatikis, T. Lagkas, S. Ouzounidis, M. Zevgara, I. Moscholios, S. Goudos, and P. Sarigiannidis, “Towards Securing Next-Generation Networks: Attacking 5G Core/RAN Testbed,” in Proc. 2022 Panhellenic Conference on Electronics & Telecommunications (PACET), Tripolis, Greece, 2022, pp. 1–4, doi: 10.1109/PACET56979.2022.9976365.
- C21
A. Lytos, D. Pliatsios, P.-A. Karypidis, P. Radoglou-Grammatikis, I. M. A. Bothos, I. Pragidis, A. Sarigiannidis, D. Margounakis, E. Grigoriou, T. Saoulidis, E. Fountoukidis, and P. Sarigiannidis, “The EVIDENT Platform: Leveraging Crowdsourcing Approaches for Assessing Consumers Behavior,” in Proc. 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Thessaloniki, Greece, 2022, doi: 10.1109/SyNERGYMED55767.2022.9941403.
- C20
G. Amponis, T. Lagkas, D. Karampatzakis, P. Radoglou-Grammatikis, V. Argyriou, I. Moscholios, S. Goudos, and P. Sarigiannidis, “Efficient Peer-to-Peer Unicasting for VANET Architectures via Enhanced Monolithic Protocols,” in Proc. 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1–8, doi: 10.1109/SEEDA-CECNSM57760.2022.9932897.
- C19
S. Giannakidou, P. Radoglou-Grammatikis, S. Koussouris, M. Pertselakis, N. Kanakaris, A. Lekidis, K. Kaltakis, M. P. Koidou, C. Metallidou, K. E. Psannis, S. Goudos, and P. Sarigiannidis, “5G-Enabled NetApp for Predictive Maintenance in Critical Infrastructures,” in Proc. 2022 5th World Symposium on Communication Engineering (WSCE), Nagoya, Japan, 2022, pp. 129–132, doi: 10.1109/WSCE56210.2022.9916037.
- C18
V. Kelli, P. Radoglou-Grammatikis, A. Sesis, T. Lagkas, E. Fountoukidis, E. Kafetzakis, I. Giannoulakis, and P. Sarigiannidis, “Attacking and Defending DNP3 ICS/SCADA Systems,” in Proc. 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), Marina del Rey, Los Angeles, CA, USA, 2022, pp. 183–190, doi: 10.1109/DCOSS54816.2022.00041.
- C17
A. Liatifis, C. Dalamagkas, P. Radoglou-Grammatikis, T. Lagkas, E. Markakis, V. Mladenov, and P. Sarigiannidis, “Fault-Tolerant SDN Solution for Cybersecurity Applications,” in Proceedings of the 17th International Conference on Availability, Reliability and Security, Vienna, Austria, 2022, pp. 1–6, doi: 10.1145/3538969.3544479.
- C16
E. Grigoriou, A. Liatifis, P. Radoglou-Grammatikis, T. Lagkas, I. Moscholios, E. Markakis, and P. Sarigiannidis, “Protecting IEC 60870-5-104 ICS/SCADA Systems with Honeypots,” in Proc. 2022 IEEE International Conference on Cyber Security and Resilience (CSR), Rhodes, Greece, 2022, pp. 345–350, doi: 10.1109/CSR54599.2022.9850329.
- C15
V. Kelli, P. Radoglou-Grammatikis, T. Lagkas, E. K. Markakis, and P. Sarigiannidis, “Risk Analysis of DNP3 Attacks,” in Proc. 2022 IEEE International Conference on Cyber Security and Resilience (CSR), Rhodes, Greece, 2022, pp. 351–356, doi: 10.1109/CSR54599.2022.9850291.
- C14
A. Liatifis, P. R. Alcazar, P. Radoglou-Grammatikis, D. Papamartzivanos, S. Menesidou, T. Krousarlis, A. M. Martín, I. Angulo, A. Sarigiannidis, T. Lagkas, V. Argyriou, A. Skarmeta, and P. Sarigiannidis, “Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach,” in Proc. 2022 IEEE 8th International Conference on Network Softwarization (NetSoft), Milan, Italy, 2022, pp. 462–467, doi: 10.1109/NetSoft54395.2022.9844034.
- C13
P. Radoglou-Grammatikis, A. Liatifis, E. Grigoriou, T. Saoulidis, A. Sarigiannidis, T. Lagkas, and P. Sarigiannidis, “TRUSTY: A Solution for Threat Hunting Using Data Analysis in Critical Infrastructures,” in Proc. 2021 IEEE International Conference on Cyber Security and Resilience (CSR), Rhodes, Greece, 2021, pp. 485–490, doi: 10.1109/CSR51186.2021.9527936.
- C12
P. Radoglou-Grammatikis, P. Sarigiannidis, G. Efstathopoulos, T. Lagkas, G. Fragulis, and A. Sarigiannidis, “A Self-Learning Approach for Detecting Intrusions in Healthcare Systems,” in Proc. ICC 2021 - IEEE International Conference on Communications, Montreal, QC, Canada, 2021, pp. 1–6, doi: 10.1109/ICC42927.2021.9500354.
- C11
V. Mladenov, V. Chobanov, P. Sarigiannidis, P. I. Radoglou-Grammatikis, A. Hristov, and P. Zlatev, “Defense against cyber-attacks on the Hydro Power Plant connected in parallel with Energy System,” in Proc. 2020 12th Electrical Engineering Faculty Conference (BulEF), Varna, Bulgaria, 2020, pp. 1–6, doi: 10.1109/BulEF51036.2020.9326016.
- C10
P. Radoglou-Grammatikis, P. Sarigiannidis, G. Efstathopoulos, P.-A. Karypidis, and A. Sarigiannidis, “DIDEROT: an intrusion detection and prevention system for DNP3-based SCADA systems,” in Proceedings of the 15th International Conference on Availability, Reliability and Security, Virtual Event, Ireland, 2020, pp. 1–8, doi: 10.1145/3407023.3409314.
- C9
P. Radoglou-Grammatikis, P. Sarigiannidis, E. Iturbe, E. Rios, A. Sarigiannidis, O. Nikolis, D. Ioannidis, V. Machamint, M. Tzifas, A. Giannakoulias, M. Angelopoulos, A. Papadopoulos, and F. Ramos, “Secure and Private Smart Grid: The SPEAR Architecture,” in Proc. 2020 6th IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium, 2020, pp. 450–456, doi: 10.1109/NetSoft48620.2020.9165420.
- C8
P. Radoglou-Grammatikis, I. Siniosoglou, T. Liatifis, A. Kourouniadis, K. Rompolos, and P. Sarigiannidis, “Implementation and Detection of Modbus Cyberattacks,” in Proc. 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST), Bremen, Germany, 2020, pp. 1–4, doi: 10.1109/MOCAST49295.2020.9200287.
- C7
P. Radoglou-Grammatikis, P. Sarigiannidis, A. Sarigiannidis, D. Margounakis, A. Tsiakalos, and G. Efstathopoulos, “An Anomaly Detection Mechanism for IEC 60870-5-104,” in Proc. 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST), Bremen, Germany, 2020, pp. 1–4, doi: 10.1109/MOCAST49295.2020.9200285.
- C6
G. Efstathopoulos, P. Radoglou-Grammatikis, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, K. Stamatakis, M. K. Angelopoulos, and S. K. Athanasopoulos, “Operational Data Based Intrusion Detection System for Smart Grid,” in Proc. 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, 2019, pp. 1–6, doi: 10.1109/CAMAD.2019.8858503.
- C5
P. Radoglou-Grammatikis, P. Sarigiannidis, I. Giannoulakis, E. Kafetzakis, and E. Panaousis, “Attacking IEC-60870-5-104 SCADA Systems,” in Proc. 2019 IEEE World Congress on Services (SERVICES), Milan, Italy, 2019, pp. 41–46, doi: 10.1109/SERVICES.2019.00022.
- C4
P. Radoglou-Grammatikis, P. Sarigiannidis, T. Liatifis, T. Apostolakos, and S. Oikonomou, “An Overview of the Firewall Systems in the Smart Grid Paradigm,” in Proc. 2018 Global Information Infrastructure and Networking Symposium (GIIS), Thessaloniki, Greece, 2018, pp. 1–4, doi: 10.1109/GIIS.2018.8635747.
- C3
P. I. Radoglou-Grammatikis and P. G. Sarigiannidis, “An Anomaly-Based Intrusion Detection System for the Smart Grid Based on CART Decision Tree,” in Proc. 2018 Global Information Infrastructure and Networking Symposium (GIIS), Thessaloniki, Greece, 2018, pp. 1–5, doi: 10.1109/GIIS.2018.8635743.
- C2
P. I. Radoglou-Grammatikis and P. G. Sarigiannidis, “Flow anomaly based intrusion detection system for Android mobile devices,” in Proc. 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, Greece, 2017, pp. 1–4, doi: 10.1109/MOCAST.2017.7937625.
- C1
P. Radoglou-Grammatikis, E. Manganopoulou, and M. Dasygenis, “Parallelization of the hierarchical search in Python for high performance embedded systems,” in Proc. 2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, Greece, 2016, pp. 1–4, doi: 10.1109/MOCAST.2016.7495138.
Book Chapters
4
- B4
V. Kelli, A. Triantafyllou, P. Radoglou-Grammatikis, T. Lagkas, V. Vitsas, P. Fouliras, I. Kotsiuba, and P. Sarigiannidis, “Achieving Security and Privacy in NG-IoT using Blockchain Techniques,” in Shaping the Future of IoT with Edge Intelligence. New York, NY, USA: River Publishers, 2023, ch. 12, pp. 251–265, doi: 10.1201/9781032632407-15.
- B3
I. Siniosoglou, S. Bibi, K.-F. Kollias, G. Fragulis, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, V. Vitsas, and P. Sarigiannidis, “Federated Learning Models in Decentralized Critical Infrastructure,” in Shaping the Future of IoT with Edge Intelligence. New York, NY, USA: River Publishers, 2023, ch. 5, pp. 95–115, doi: 10.1201/9781032632407-7.
- B2
A. Liatifis, D. Pliatsios, P. Radoglou-Grammatikis, T. Lagkas, V. Vitsas, N. Katertsidis, I. Moscholios, S. Goudos, and P. Sarigiannidis, “Edge Networking Technology Drivers for Next-generation Internet of Things in the TERMINET Project,” in Shaping the Future of IoT with Edge Intelligence. New York, NY, USA: River Publishers, 2023, ch. 1, pp. 3–14, doi: 10.1201/9781032632407-2.
- B1
P. Radoglou-Grammatikis and P. Sarigiannidis, “Network Threats,” in Cyber-Security Threats, Actors, and Dynamic Mitigation. Boca Raton, FL, USA: CRC Press, 2021, ch. 5, pp. 159–198, doi: 10.1201/9781003006145-5.
Other Authoring Activities
4
- O4
P. Radoglou-Grammatikis, T. Lagkas, and P. Sarigiannidis, “Next generation IoT reference solution: The TERMINET project,” Open Access Government, 2021.
- O3
P. Radoglou-Grammatikis, T. Lagkas, and P. Sarigiannidis, “Secure and resilient electrical power and energy systems: the SDN-microSENSE project,” The Project Repository Journal, vol. 11, no. 1, pp. 126–129, Oct. 2021, doi: 10.54050/PRJ1117811.
- O2
P. Radoglou-Grammatikis and P. Sarigiannidis, “Secure and private smart grid: the SPEAR project,” The Project Repository Journal, vol. 10, no. 1, pp. 14–17, Sep. 2021, doi: 10.54050/PRJ10014017.
- O1
No publications match your search.
P. Radoglou-Grammatikis, “Security and Privacy in the Internet of Things,” Ph.D. dissertation, Dept. Elect. Comput. Eng., Univ. Western Macedonia, Kozani, Greece, 2023, doi: 10.12681/eadd/53552.
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Datasets.

Compromised Software Containers Dataset
Compromised Software Containers (COSOCO) Dataset
COSOCO (Compromised Software Containers) is a synthetic dataset of 3364 images representing benign and malware-compromised software containers. Each image in the dataset represents a dockerized software container that has been converted to an image using common byte-to-pixel tools widely used in…
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APT Sandworm Dataset
Due to the rise in Advanced Persistent Threat (APT) attacks, modern digital systems and particularly critical infrastructures, must be equipped to counteract these stealthy, multistage intrusions. Unlike simple, isolated attack techniques, APTs are orchestrated by highly skilled adversarial groups…
Read more
Federated OCPP 1.6 Intrusion Detection Dataset
The recent developments in the field of the Internet of Things (IoT) bring alongside them quite a few advantages. Examples include real-time condition monitoring, remote control and operation and sometimes even remote fault remediation. Still, despite bringing invaluable benefits,…
Read more
5GC PFCP Intrusion Detection Dataset
The advancements in the field of telecommunications have resulted in an increasing demand for robust, high-speed, and secure connections between User Equipment (UE) instances and the Data Network (DN). The implementation of the newly defined 3rd Generation Partnership Project 3GPP (3GPP) network…
Read more
Peach Tree Disease Detection Dataset
This peach tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of peach trees, including stress analysis and prediction. An orchard of peach trees is considered in the area of Thessaly, where 889…
Read more
DNP3 Intrusion Detection Dataset
In the digital era of the Industrial Internet of Things (IIoT), the conventional Critical Infrastructures (CIs) are transformed into smart environments with multiple benefits, such as pervasive control, self-monitoring and self-healing. However, this evolution is…
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Cherry Tree Disease Detection Dataset
This cherry tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of cherry trees, including stress analysis and prediction. An orchard of cherry trees is considered in the area of Western Macedonia, where 577 cherry trees were recorded…
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IEC 60870-5-104 Intrusion Detection Dataset
The evolution of the Industrial Internet of Things (IIoT) introduces several benefits, such as real-time monitoring, pervasive control and self-healing. However, despite the valuable services, security and privacy issues still remain given the presence of legacy and insecure communication protocols…
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Research Projects.

Drones4Green
Drones4GREEN: Drones for GREEn iNdustry
The Drones4GREEN project brings together active centers for educational technology and drone-related industries across the European Union. The primary motivation for establishing the current proposal, came from the perceived need to promote new business opportunities in the domain of drone…
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JAUNTY
JAUNTY: Joint undergAduate coUrses for smart eNergy managemenT sYstems
JAUNTY aims to develop distant courses and remote labs in Smart Energy Management Systems (SEMS) for undergraduate students, in order to address the energy power companies’ demands on emerging ICT technologies. The courses are provided through online platforms while students are exercised on smart…
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EVIDENT
EVIDENT: bEhaVioral Insgihts anD Effective eNergy policy acTions
Energy efficiency depends on policy interventions for energy security, energy poverty and climate change promoted by innovative technology and energy investments. However, consumers have shown limited response to these technologies, creating an energy efficiency gap that represents financial and…
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SDN-microSENSE
SDN-microSENSE: SDN – microgrid reSilient Electrical eNergy SystEm
The smart energy ecosystem is the next step of the conventional electrical grid, offering increased reliability, augmented service quality and efficient exploitation of existing infrastructures. However, it generates significant security and privacy problems as it contains a combination of…
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SPEAR
SPEAR: Secure and PrivatE smArt gRid
Cyberattacks are sophisticated, targeted, and multi-faceted threats. As society becomes increasingly dependent on critical infrastructures, such as the Smart Grid, the need for advanced technologies to detect and respond to these attacks is crucial. The Smart Grid, hailed as the next-generation…
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TERMINET
TERMINET: nexT gEneRation sMart INterconnectEd ioT
Tens of billions of devices are connected to the Internet of Things (IoT), and the number of connections is growing every second. Information is being constantly sent and received from one smart device to another. Based on cutting-edge technologies such as software-defined networking (SDN),…
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ACROSS
ACROSS: Automated zero-touch cross-layer provisioning framework for 5G and beyond vertical services
The ACROSS project designs and implements an end-to-end service deployment and management platform for next-generation networks and services, aiming at unprecedented levels of automation, performance, scalability, and energy efficiency. At its basis, the platform is built as a highly-distributed…
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AI4CYBER
AI4CYBER: Trustworthy Artificial Intelligence for Cybersecurity Reinforcement and System Resilience
AI4CYBER ambitions to provide an Ecosystem Framework of next-generation trustworthy cybersecurity services that leverage AI and Big Data technologies to support system developers and operators in effectively managing robustness, resilience, and dynamic response against advanced and AI-powered…
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CASTOR
CASTOR: Continuum of Trust: Increased Path Agility and Trustworthy Device and Service Provisioning
Ever since the cloud-centric service provision started becoming incapable for efficiently supporting the emerging end-user needs, compute functionality has been shifted from the cloud, closer to the edge, or delegated to the user equipment at the far-edge. The resources and computing capabilities…
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cPAID
cPAID: cloud-based Platform-agnostic Adversarial aI Defence framework
cPAID envisions researching, designing, and developing a cloud-based platform-agnostic defense framework for the holistic protection of AI applications and the overall AI operations of organizations against malicious actions and adversarial attacks. cPAID aims at tackling both poisoning and evasion…
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DYNABIC
DYNABIC: Dynamic business continuity of critical infrastructures on top of adaptive multi-level cybersecurity
Adopting AI-based defensive solutions and innovative methods for business continuity risk management based on improved SecDevOps (making every decision from a security-first mindset) can considerably enhance the resilience of critical services. To support the provision of completely resilient…
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ELECTRON
ELECTRON: rEsilient and seLf-healed EleCTRical pOwer Nanogrid
The Electrical Power and Energy Systems (EPES) is a complex yet critical infrastructure that is also vulnerable to cyberattacks. Protecting these systems is vital for the smooth operation of sectors like transportation, communication, industry, finance, disaster, response, water and energy. In this…
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INTACT
INTACT: integrated software toolbox for secure IoT-to-Cloud computing
We will develop an Integrated Software Toolbox that will offer predictive Cybersecurity sensing, optimization and management services for the distributed IoT-to-Cloud continuum. The scope is to continuously maximizing the continuum’s infrastructure security and data privacy with minimal effect on…
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PIQASO
PIQASO: Post-Quantum Cryptography As-a-Service for Common Transmission Systems and Infrastructures
PiQASO aspires to provide fully optimized and operational implementations as-a-service for an ensemble of crypto algorithms and protocols, including key encapsulation, digital signatures, (authenticated) key exchange, authorization, identity management, long-term data security, multi-party secure…
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XTRUST-6G
XTRUST-6G: Extended zero-trust and intelligent security for resilient and quantum-safe 6G networks and services
The project aims to establish a robust security framework for 6G ecosystems, underpinned by the zero-trust principle and emphasizing core tenets like resilience, privacy, and dependability. Dynamic access control via a context-aware risk-based policy engine, leveraging rich cyber-threat…
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AIAS
AIAS: AI-ASsisted cybersecurity platform empowering SMEs to defend against adversarial AI attacks
In recent years, the digital environment and digital transformation of enterprises of all sizes have made AI-based solutions vital to mission-critical. AI-based systems are used in every technical field, including smart cities, self-driving cars, autonomous ships, 5G/6G, and next-generation…
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REFINE
Air pollution is a significant global concern causing an estimated 4.2 million deaths annually due to diseases related to poor air quality. Climate change is exacerbating air quality issues and posing unprecedented challenges to the existing air quality monitoring systems, which mainly utilize…
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SPIDER
SPIDER: a cyberSecurity Platform for vIrtualiseD 5G cybEr Range services
The increasing complexity of the telecommunication domain’s cyber threat landscape intensifies the need for new security solutions and for improving the technical security skills of experts and non-experts in the multi-tenant and multi-service environments coming with the domain’s 5th generation…
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SwiftV2X
SwiftV2X: Smart mmWave and MultiRATs for Multihop Vehicle-to-Everything (V2X) Communications in Connected and Autonomous Vehicles
The push for improved driving experience, including the ultimate goal of driverless vehicles, has fueled the development of Connected and Autonomous Vehicles (CAVs). Connectivity is an important enabler for CAVs, as it allows for autonomous vehicles to directly participate in the intelligent…
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TREEADS
TREEADS: A Holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters
Considering the socio-ecological transition of Europe 2030, and towards a more resilient and informed community, focusing on the forests that are near wildfire risk, TREEADS aims to build upon state-of-the-art high TRL products and unite them in a holistic Fire Management platform that optimize and…
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Women4AGreenEU
Women4AGreenEU: Empowering Women in Green Technology: Comprehensive Strategy for Integrative Advocacy and Policy Experimentation
The Women4AGreenEU project aims to significantly enhance the participation and success of women in the green technology sector through a comprehensive strategy that integrates advocacy, policy experimentation, and educational empowerment. This initiative seeks to dismantle the systemic barriers…
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P2CODE
P2CODE: Programming Platform for Intelligent Collaborative Deployments over Heterogeneous Edge-IoT Environments
P2CODE envisions the design and development of an open platform for the deployment and dynamic management of end user applications, over distributed, heterogeneous and trusted IoT-Edge node infrastructures, with enhanced programmability features and tools at both the network infrastructure level…
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TRITON
TRITON: Generative Automation of Security Penetration Tests
The convergence of different technologies coming with their own vulnerabilities, such as Internet of Things (IoT), communication networks, Operating Systems (OS) and Artificial Intelligence (AI) systems open-up new attack fronts and shift the attackers’ interest to more sophisticated techniques. As…
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TRUSTEE
TRUSTEE: TRUST AND PRIVACY PRESERVING COMPUTING PLATFORM FOR CROSS-BORDER FEDERATION OF DATA
As we live in a data-driven era, the emergence of interdisciplinary, geographically dispersed, data repositories, is inevitable. The fact that these repositories do not necessarily abide with existing interdisciplinary data representation standards, nor do they necessarily belong to any data…
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5G-INDUCE
5G-INDUCE: Open cooperative 5G experimentation platforms for the industrial sector Network Applications
The success of 5G technologies depends closely on their ability to attract vertical stakeholders, seeking the move of their services from cloud to the edge to meet unique KPIs. 5G-INDUCE project is based on the belief that such attractiveness requires vertical stakeholders and Network Application…
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CoGNETs
CoGNETs: Continuums Of Game NETs: swarm intelligence as information processing
CoGNETs aims to revolutionize the Intelligent Infrastructure Management by introducing a scalable and interoperable distributed Middleware Framework for autonomous IoT-to-Cloud computing, sustainable during and after the…
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RAINBOW
RAINBOW: AN OPEN, TRUSTED FOG COMPUTING PLATFORM FACILITATING THE DEPLOYMENT, ORCHESTRATION AND MANAGEMENT OF SCALABLE, HETEROGENEOUS AND SECURE IOT SERVICES AND CROSS-CLOUD APPS
The vision of RAINBOW is to design and develop an open and trusted fog computing platform that facilitates the deployment and management of scalable, heterogeneous and secure IoT services and cross-cloud applications (i.e, microservices). RAINBOW falls within the bigger vision of delivering a…
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SANCUS
SANCUS: analysis software scheme of uniform statistical sampling, audit and defence processes
The project involves 15 Partners from 8 European countries, and aims to design and develop an analySis software scheme of uNiform statistiCal sampling, aUdit and defence proceSses (SANCUS – an Roman god of trust). The main idea draws on formalising the logic of expressing (for the first time) the…
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SEQURED
SEQURED: Strengthening Defense Networks for the Quantum Era
SEQURED aims to fortify, future-proof, and enhance the resilience of defence systems and communication infrastructures against potential threats from quantum computing attacks. The project design a quantum-resistant cryptographic suite for data-sharing, processing, and secure storage. This suite…
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TORNADO
TORNADO: foundaTion mOdels for Robots that haNdle smAll, soft and Deformable Objects
TORNADO will develop an innovative, multifunctional and adaptive cloud robotics platform, supporting advanced navigation of an autonomous mobile robot (AMR) within complex, time-varying, real-world, human-populated indoor environments. The TORNADO AMR will be able to manipulate small, soft or…
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UP2030
UP2030: Urban Planning and design ready for 2030
UP2030 aims to guide cities through the socio-technical transitions required to meet their climate neutrality ambitions. It will do so by enabling a quantum leap from a ´business as usual´, project-by-project decarbonisation approach to a vision-driven, strategy-based approach that is anchored on…
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Honors & Awards.
Top 2% of Scientists in the World for 2024 in Stanford University’s List
Top 2% of Scientists in the World for 2023 in Stanford University’s List
Outstanding Service Award – IEEE SMC TC on Homeland Security 2024
Best Innovation Paper Award – IEEE CSR 2023
Best Paper Award – SEEDA CECNSM 2022
Best Oral Presentation Award – WSCE 2022
Best Student Paper Award – IEEE CSR 2021
Best Paper Award – IEEE CAMAD 2019
Editor’s Choice Article – ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid
Research Activities.
Research Interests
- Cybersecurity
- Intrusion Detection
- Risk Assessment
- Applied Cryptography
- Vulnerability Analysis
- IoT Security
- Smart Grid Security
- Penetration Testing
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Honeypots
- Security Games
Editorial Activities
- Panagiotis Sarigiannidis, Thomas Lagkas, Vasileios Argyriou, Panagiotis Radoglou-Grammatikis, “The Evolution of Next Generation Internet of Things: Applications & Future Directions”, Springer, 2023.Link
- Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Thomas Lagkas, and Vasileios Argyriou, “Cybersecurity in the Next-Generation Industrial Internet of Things Era: Modelling, Detecting and Mitigating Threats,” Electronics, MDPI, 2022.Link
Talks
- Panagiotis Radoglou-Grammatikis, Risk Management in Electrical and Power Systems, Summer School in Cybersecurity, Privacy & Policy Intervations (CPPI), University of Western Macedonia, 2023.Link
- Panagiotis Radoglou-Grammatikis, Industrial IoT Security, Department of Information and Electronic Engineering, International Hellenic University, 2022.Link
Reviewer in International Journals
78
Most of the reviewing activities in the context of international journals are summarised in real-time through Clarivate – Web of Science and ORCID.
- IEEE Internet of Things Journal (IEEE Publishing)
- IEEE Geoscience and Remote Sensing Magazine (IEEE Publishing)
- IEEE Transactions on Industrial Informatics (IEEE Publishing)
- IEEE Transactions on Neural Networks and Learning Systems (IEEE Publishing)
- IEEE Transactions on Knowledge and Data Engineering (IEEE Publishing)
- IEEE Transactions on Smart Grid (IEEE Publishing)
- IEEE Transactions on Consumer Electronics (IEEE Publishing)
- IEEE Transactions on Artificial Intelligence (IEEE Publishing)
- IEEE Transactions on Network Science and Engineering (IEEE Publishing)
- IEEE Transactions on Dependable and Secure Computing (IEEE Publishing)
- IEEE Transactions on Automation Science and Engineering (IEEE Publishing)
- IEEE Communication Magazine (IEEE Publishing)
- IEEE Consumer Electronics Magazine (IEEE Publishing)
- IEEE Transactions on Network and Service Management (IEEE Publishing)
- IEEE Transactions on Industrial Cyber-Physical Systems (IEEE Publishing)
- IEEE Transactions on Technology and Society (IEEE Publishing)
- IEEE Access (IEEE Publishing)
- IEEE Open Journal of the Industrial Electronics Society (IEEE Publishing)
- ACM Transactions on Internet Technology (ACM Publishing)
- Computer Science Review (Elsevier Publishing)
- Energy Strategy Reviews (Elsevier Publishing)
- Energy Reports (Elsevier Publishing)
- Engineering Applications of Artificial Intelligence (Elsevier Publishing)
- Artificial Intelligence in Medicine (Elsevier Publishing)
- Journal of Industrial Information Integration (Elsevier Publishing)
- Computer Network (Elsevier Publishing)
- Information Science (Elsevier Publishing)
- Engineering Failure Analysis (Elsevier Publishing)
- Journal of Network and Computer Applications (Elsevier Publishing)
- Sustainable Computing: Informatics and Systems (Elsevier Publishing)
- Future Generation Computer Systems (Elsevier Publishing)
- Physical Communication (Elsevier Publishing)
- Computer Communication (Elsevier Publishing)
- Ad Hoc Networks (Elsevier Publishing)
- Computer and Security (Elsevier Publishing)
- International Journal of Critical Infrastructure Protection (Elsevier Publishing)
- International Journal of Electrical Power and Energy Systems (Elsevier Publishing)
- Sustainable Energy, Grids and Networks (Elsevier Publishing)
- Smart Health (Elsevier Publishing)
- Cluster Computing (Springer Publishing)
- Complex & Intelligent Systems (Springer Publishing)
- Journal of Intelligent and Robotic Systems (Springer Publishing)
- Artificial Intelligence Review (Springer Publishing)
- International Journal of Information Security (Springer Publishing)
- Smart Grids and Sustainable Energy (Springer Publishing)
- Discover Energy (Springer Publishing)
- PLOS One (Public Library of Science)
- Sensors (MDPI Publishing)
- Diagnostics (MDPI Publishing)
- Applied Sciences (MDPI Publishing)
- Electronics (MDPI Publishing)
- Remote Sensing (MDPI Publishing)
- Energies (MDPI Publishing)
- Risks (MDPI Publishing)
- Technologies (MDPI Publishing)
- Drones (MDPI Publishing)
- Journal of Sensor and Actuator Networks (MDPI Publishing)
- Machine Learning and Knowledge Extraction (MDPI Publishing)
- Big Data and Cognitive Computing (MDPI Publishing)
- Frontiers in Public Health (Frontiers Publishing)
- Algorithms (MDPI Publishing)
- Information (MDPI Publishing)
- Applied System Innovation (MDPI Publishing)
- Future Internet (MDPI Publishing)
- Cryptography (MDPI Publishing)
- Computation (MDPI Publishing)
- Security and Communication Networks (Hindawi Publishing)
- Journal of Electrical and Computer Engineering (Hindawi Publishing)
- IET Information Security (IET Publishing)
- Electronics Letters (IET Publishing)
- International Journal of Communication Systems (WILEY Publishing)
- The Journal of Navigation (Cambridge Core Publishing)
- Environmental Pollutants and Bioavailability (Taylor & Francis Publishing)
- International Journal of Ambient Energy (Taylor & Francis Publishing)
- Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis Publishing)
- Applied Economic Letters (Taylor & Francis Publishing)
- Journal of Information Security (Scientific Research Publishing)
- CMC-Computers, Materials & Continua (Tech Science Press)
Reviewer in International Conferences
24
- ARES Conference/STAMP 2023
- 2022 IEEE CSR – EPES-SPR Workshop
- ARES 2021
- SecSoft 2021
- 4th International Conference on Intelligent Technologies and Applications INTAP 2021
- IEEE Globecom 2020
- IEEE NetSoft/SecSoft 2020
- Inter Journal of Computing and Digital Systems 2020
- IEEE Globecom 2019
- IEEE ICC 2019
- IEEE CAMAD 2019
- IEEE ISCC 2019
- IEEE Globecom 2018
- IEEE COMNETSAT 2018
- IEEE ANTS 2018
- IEEE ISCC 2018
- IEEE ICC 2018
- 2018 5th NAFOSTED Conference on Information and Computer Science
- Smart Cities Symposium 2018
- 2018 International Conference on Computing, Networking and Communications (ICNC)
- IEEE Globecom 2017
- 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
- Second Symposium on Advances in Applied Informatics (SAI’17)
- 2nd International Conference on Applied Soft Computing and Communication Networks (ACN’17
TPC Member of International Scientific Conferences
14
- 2024 IEEE Future Networks World Forum (FNWF’24)
- IEEE MECOM 2024: IEEE Middle East Conference on Communications and Networking 2024
- IEEE CloudCom 2023/IEEE International Workshop on Secure Cloud Continuum (SCC 2023)
- 2023 IEEE Future Networks World Forum (FNWF’23)
- 2023 IEEE CSR – EPES-SPR Workshop (Publicity chair)
- ARES Conference/STAMP 2023
- ARES Conference/EPESec 2023
- ARES Conference/EPESec 2022
- 2022 IEEE CSR – EPES-SPR Workshop (Publicity chair)
- IEEE NetSoft/SecSoft Workshop 2022
- IEEE NetSoft/SecSoft Workshop 2020
- 2021 IEEE CSR – EPES-SPR Workshop (Publicity chair)
- IEEE NetSoft/SecSoft Workshop 2021
- ARES Conference/EPESec 2021