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publications

  1. Antonis Protopsaltis, Panagiotis Sarigiannidis, Dimitrios Margounakis, and Anastasios Lytos. 2020. Data visualization in internet of things: tools, methodologies, and challenges. In Proceedings of the 15th International Conference on Availability, Reliability and Security (ARES ’20). Association for Computing Machinery, New York, NY, USA, Article 110, 1–11. https://doi.org/10.1145/3407023.3409228 
  2. P. Radoglou-Grammatikis, P. Sarigiannidis, G. Efstathopoulos, P.-A. Karypidis, and A. Sarigiannidis, ‘DIDEROT’, Proceedings of the 15th International Conference on Availability, Reliability and Security. ACM, Jul. 30, 2020 [Online]. Available. https://doi.org/10.1145/3407023.3409314
  3. T. Cantero-Gubert, A. Colet, P. Paradell, and J. L. Domínguez-García, ‘Building a testing environment for SDN networks analysis for electrical grid applications’, Proceedings of the 15th International Conference on Availability, Reliability and Security. ACM, Jul. 30, 2020 [Online]. Available: . doi: 10.5281/zenodo.3930465
  4. A. Triantafyllou, J. A. P. Jimenez, A. D. R. Torres, T. Lagkas, K. Rantos and P. Sarigiannidis, “The Challenges of Privacy and Access Control as Key Perspectives for the Future Electric Smart Grid,” in IEEE Open Journal of the Communications Society, vol. 1, pp. 1934-1960, 2020, doi: 10.1109/OJCOMS.2020.3037517.
  5. A. Ivanova, P. Paradell, J. L. Domínguez-García and A. Colet, “Intentional Islanding of Electricity Grids Using Binary Genetic Algorithm,” 2020 2nd Global Power, Energy and Communication Conference (GPECOM), 2020, pp. 297-301, doi: 10.1109/GPECOM49333.2020.9247893.
  6. Z. Sun, Y. Spyridis, T. Lagkas, A. Sesis, G. Efstathopoulos, and P. Sarigiannidis, ‘End-to-End Deep Graph Convolutional Neural Network Approach for Intentional Islanding in Power Systems Considering Load-Generation Balance’, Sensors, vol. 21, no. 5. MDPI AG, p. 1650, Feb. 27, 2021 [Online]. Available https://doi.org/10.3390/s21051650
  7. P. Radoglou-Grammatikis et al., “Modelling, Detecting and Mitigating Threats against Industrial Healthcare Systems: A combined SDN and Reinforcement Learning Approach,” in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3093905. 
  8. P. Radoglou-Grammatikis et al., “TRUSTY: A Solution for Threat Hunting Using Data Analysis in Critical Infrastructures,” 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 2021, pp. 485-490, doi: 10.1109/CSR51186.2021.9527936.
  9. S. de Diego et al., “A peer-to-peer verifiable and secure energy trading framework based on blockchain technology,” 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), 2021, pp. 241-247, doi: 10.1109/WorldS451998.2021.9514028.
  10. A. Pasias, T. Kotsiopoulos, G. Lazaridis, A. Drosou, D. Tzovaras and P. Sarigiannidis, “Enabling Cyber-attack Mitigation Techniques in a Software Defined Network,” 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 2021, pp. 497-502, doi: 10.1109/CSR51186.2021.9527932.
  11. G. Lazaridis, K. Papachristou, A. Drosou, D. Ioannidis, P. Chatzimisios, and D. Tzovaras, ‘On the Potential of SDN Enabled Network Deployment in Tactical Environments’, Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. Springer International Publishing, pp. 252–263, 2021 . https://doi.org/10.1007/978-3-030-79157-5_21
  12. A. Pasias, A. Schoinas, A. Drosou and D. Tzovaras, “A Scalable Multi-Agent System for Black Start Restoration in Low Voltage Microgrids,” 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 2021, pp. 479-484, doi: 10.1109/CSR51186.2021.9527919.
  13. P. R. Grammatikis et al., ‘SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture’, Digital, vol. 1, no. 4. MDPI AG, pp. 173–187, Sep. 30, 2021 [Online]. Available. https://doi.org/10.3390/digital1040013
  14. S. Sanchez-Acevedo and S. D’Arco, ‘Towards a Versatile Cyber Physical Power System Testbed: Design and Operation Experience’, 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE, Oct. 18, 2021 [Online]. Available: http://dx.doi.org/10.1109/ISGTEurope52324.2021.9640082
  15. A. Redondo, M. Escalante, I. Santamaría, X. Yurrebaso “Modelo de capacitación en ciberseguridad para empresas del sector eléctrico” VII CONGRESO SG 2020 (link)
  16. T. Goglev “Cybersecurity in Electrical Power and Energy System (EPES) with Software- Defined Network Architecture SDN MicroSENSE” Energetika magazine, April 2020 (link)
  17. T. Goglev “Cybersecurity in the electrical power and energy system (EPES) with software- defined network architecture SDN-microsense – review and pilot”, International Energy Forum 2020 (link)
  18. Goglev “Massive False Data Injection attack against Electric Power end Energy System part of Bulgarian Use Case of SDN MicroSENSE”, International Energy Forum 2020, Energetika magazine December 2020 (link)
  19. Goglev “Cyber-attack simulation against the electrical power and energy system (EPES) part of SDN- microsense project”, International Energy Forum 2021
  20. Goglev, “Cyber-attack simulation against the electrical power and energy system (EPES) part of SDN microSENSE project”, Energetika magazine, December 2021 (link)
  21. Goglev, “State of the art cyberattack detection tools – part SDN microSENSE architecture”, RISE-SD
  22. Sun et al., ‘Intentional Islanding of Power Systems Through Self-Embedding Learning’, 2021 IEEE Globecom Workshops (GC Wkshps). IEEE, Dec. 2021 [Online]. Available: http://dx.doi.org/10.1109/gcwkshps52748.2021.9682069
  23. Paradell et al., ‘Increasing resilience of power systems using intentional islanding; a comparison of Binary genetic algorithm and deep learning based method’, 2021 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, Jul. 26, 2021 [Online]. Available: http://dx.doi.org/10.1109/CSR51186.2021.9527918
  24. Radoglou-Grammatikis et al., ‘Strategic Honeypot Deployment in Ultra-Dense Beyond 5G Networks: A Reinforcement Learning Approach’, IEEE Transactions on Emerging Topics in Computing. Institute of Electrical and Electronics Engineers (IEEE), pp. 1–12, 2022 [Online]. Available: http://dx.doi.org/10.1109/tetc.2022.3184112
  25. Radoglou-Grammatikis, P. Sarigiannidis, and T. Lagkas, ‘Secure and resilient electrical power and energy systems: the SDN-microSENSE project’, The Project Repository Journal, vol. 11, no. 1. European Dissemination Media Agency Limited, pp. 126–129, Oct. 29, 2021 [Online]. Available: http://dx.doi.org/10.54050/prj1117811
  26. Colet-Subirachs et al., ‘Cyberattack Mitigation in a Microgrid Environment: a Power-Hardware-in-The-Loop testing methodology’, 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, Jun. 28, 2022 [Online]. Available: http://dx.doi.org/10.1109/eeeic/icpseurope54979.2022.9854730
  27. Goglev, “Tools and methods to detect cyber attacks against critical infrastructure with SDN MicroSENSE”, Energetica Magazine, October 2022 (link)
  28. Sanchez-Acevedo and S. D’Arco, ‘A SDN Based Method for Blocking Malicious Attacks on Digital Substations Communication’, 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, May 24, 2022 [Online]. Available: http://dx.doi.org/10.1109/icps51978.2022.9816964
  29. Nwankwo et al., ‘Data Protection and Cybersecurity Certification Activities and Schemes in the Energy Sector’, Electronics, vol. 11, no. 6. MDPI AG, p. 965, Mar. 21, 2022 [Online]. Available: http://dx.doi.org/10.3390/electronics11060965
  30. Kelli et al., ‘Attacking and Defending DNP3 ICS/SCADA Systems’, 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, May 2022 [Online]. Available: http://dx.doi.org/10.1109/dcoss54816.2022.0004
  31. Rokkas and I. Neokosmidis, ‘Classifying the factors affecting the adoption of the SDN-microSENSE innovations’, Proceedings of the 17th International Conference on Availability, Reliability and Security. ACM, Aug. 23, 2022 [Online]. Available: http://dx.doi.org/10.1145/3538969.3544481
  32. A. Lopez, I. Angulo, and S. Martinez, ‘Substation-Aware. An intrusion detection system for the IEC 61850 protocol.’, Proceedings of the 17th International Conference on Availability, Reliability and Security. ACM, Aug. 23, 2022 [Online]. Available: http://dx.doi.org/10.1145/3538969.3543818
  33. Gallart-Fernandez, M. Peñarroya-Esteve, “Software Development Network Applied in the European Power Energy Systems”, IEEE Smart Grid publication, June 2021
  34. Pasias, T. Kotsiopoulos, G. Lazaridis, A. Drosou, D. Tzovaras, and P. Sarigiannidis, “FRANS: cyber-resilience enhancement FRAmework iN Smart grids,” SpringerLink. [Online]. Available: https://link.springer.com/book/9783031203596. [To be published]