251 citations · 833 across the 65 of their papers we have counts for
5 papers · 1 filter
Rouxii: Exploiting Honeypots with Deception-Aware AI Pentesters
Arthur Cordeiro, Alberto Maria Mongardini, Emmanouil Vasilomanolakis
Honeypots are designed to deceive attackers, and recent work shows they can also derail autonomous LLM-based pentesters. These evaluations, however, largely consider attackers unaw…
Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach
Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1
Internet of Medical Things (IoMT) devices operate under strict resource constraints while handling highly sensitive health data, making security and privacy critical concerns. Fede…
Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT
Hajar Moudoud, Lyes Khoukhi, Soumaya Cherkaoui
Security in the fifth generation (5G) networks has become one of the prime concerns in the telecommunication industry. 5G security challenges come from the fact that 5G networks in…
Towards a Scalable and Trustworthy Blockchain: IoT Use Case
Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi
Recently, blockchain has gained momentum as a novel technology that gives rise to a plethora of new decentralized applications (e.g., Internet of Things (IoT)). However, its integr…
Towards a Secure and Reliable Federated Learning using Blockchain
Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi
Federated learning (FL) is a distributed machine learning (ML) technique that enables collaborative training in which devices perform learning using a local dataset while preservin…