The rapid expansion of cyber-physical systems (CPSs) has introduced new security
challenges, leading to the emergence of various threats, attacks, and controls aimed at …

This paper addresses the shortcomings of existing leader-following consensus approaches
in multi-agent systems, particularly their vulnerability to Byzantine attacks and inefficiencies …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

Federated learning, while being a promising approach for collaborative model training, is
susceptible to poisoning attacks due to its decentralized nature. Backdoor attacks, in …

This paper examines the evolving landscape of machine learning (ML) and its profound
impact across various sectors, with a special focus on the emerging field of Privacy …

Reinforcement Learning (RL), one of the core paradigms in machine learning, learns to
make decisions based on real-world experiences. This approach has significantly advanced …

5G and beyond cellular systems embrace the disaggregation of Radio Access Network
(RAN) components, exemplified by the evolution of the fronthual (FH) connection between …

Intrusion Detection Systems (IDSs) are vital for protecting computer networks against
unauthorized access and evolving cyber threats. Traditional signature-based IDSs, while …