The AIAS project is proud to announce the presentation of a groundbreaking research paper at the IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2024), held on October 21, 2024.
Authored by Ignacio Lacalle, Sergio Cuñat, Andrea Farao, Christos Xenakis, Dimitris Xenakis, and Carlos E. Palau, the paper titled: “Deception Mechanisms for Cyber-Security Enhancement in the Internet of Things” explores novel defense strategies aimed at bolstering the security of Internet of Things (IoT) ecosystems through the use of deception technologies.
As IoT devices become increasingly pervasive, they also present a growing attack surface for adversaries. This work proposes and analyzes adaptive deception mechanisms that detect and mislead attackers, thus strengthening the resilience of IoT environments. The paper highlights how deceptive elements—such as honeypots, decoy data, and misinformation—can be systematically integrated into IoT networks to delay, disrupt, and detect cyber threats more effectively.
This research aligns with the AIAS project’s mission to investigate cutting-edge approaches for protecting AI-driven and interconnected systems through adversarial resilience, explainability, and cyber deception.
The full paper is available in the IEEE Xplore digital library.