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aias transparent logo
  • Home
  • The Project
  • Partners
  • News
  • Material
    • Research Publications
    • Results and Documentation
    • Communication Material
  • Contact

Research Publications

  • I. Politis, M. Bampatsikos, A. Zarras and C. Xenakis, “Trust Score Prediction for IoT Device Onboarding Using Transfer and Few-Shot Learning in Consumer Electronics,” in IEEE Transactions on Consumer Electronics
  • Kotsiopoulos, T., Radoglou-Grammatikis, P., Lekka, Z. et al. Defending industrial internet of things against Modbus/TCP threats: A combined AI-based detection and SDN-based mitigation solution. Int. J. Inf. Secur. 24, 157 (2025). https://doi.org/10.1007/s10207-025-01076-2
  • Farao, A., Bolgouras, V., Zarras, A., & Xenakis, C. Cybersecurity Challenges and Pitfalls in 6G Networks.
  • Petihakis, Georgios, Aristeidis Farao, Panagiotis Bountakas, Athanasia Sabazioti, John Polley, and Christos Xenakis. “AIAS: AI-ASsisted cybersecurity platform to defend against adversarial AI attacks.” In Proceedings of the 19th International Conference on Availability, Reliability and Security, pp. 1-7. 2024.
  • Bampatsikos M, Politis I, Ioannidis T, Xenakis C. Trust Score Prediction and Management in IoT Ecosystems Using Markov Chains and MADM Techniques. IEEE Transactions on Consumer Electronics. 2025 Jan 17.
  • Lacalle I, Cuñat S, Farao A, Xenakis C, Xenakis D, Palau CE. Deception Mechanisms for Cyber-Security Enhancement in the Internet of Things. In2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2024 Oct 21 (pp. 1-7). IEEE.

AI-ASsisted cybersecurity platform empowering SMEs
to defend against adversarial AI attacks

This project has received funding from the European Union under HORIZON-TMA-MSCA-SE, Topic HORIZON-MSCA-2022-SE-01-01, Grant Agreement No 101131292.

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