Unmanned aerial vehicles (UAVs) operate as cyber-physical systems that continuously exchange telemetry and control data over wireless links, exposing them to attacks targeting both communication and data integrity. Existing machine learning-based intrusion detection systems for UAVs are evaluated under closed-set assum...
Salma Aboelmagd, Garrison Gralike, Rachad Atat et al.· IEEE Conference on Communica...· 0 citations
This paper proposes an novel framework that couples software-level scanning with hardware-level microprocessor activity monitoring to achieve efficient ransomware detection and mitigation and provides trace-level interpretability that explains the underlying decision process.
Salma Aboelmagd, Md Rakibul Ahasan, Zhi-Xin Pan et al.· 0 citations
Ensuring the resilience of large-scale power systems against cyber attacks is critical to maintaining the stability of modern cyber-physical energy systems. Existing machine learning (ML)-based detection frameworks predominantly focus on pairwise node interactions (i.e., edges) and often overlook capturing higher-order...