3 papers
cs.CR2025
Multi-LLM Energy Reasoning for Binary-Free Zero-Day IoT Detection
Saeid Jamshidi, Foutse Khomh, Kawser Wazed Nafi +2
Securing Internet of Things (IoT) firmware remains difficult due to proprietary binaries, stripped symbols, heterogeneous architectures, and limited access to executable code. Exis…
cs.CR2025
Green Deep Reinforcement Learning for IoT Edge Intrusion Detection
Saeid Jamshidi, Foutse Khomh, Rolando Herrero +2
The rapid expansion of the Internet of Things (IoT) has intensified cybersecurity challenges, particularly in detecting and mitigating Distributed Denial-of-Service (DDoS) attacks…
cs.CR2025
EcoDefender: Energy-Efficient Hybrid Anomaly Detection for IoT Edge Gateways
Saeid Jamshidi, Martine Bellaıche, Omar Abdul Wahab
The rapid growth of the Internet of Things (IoT) has created large-scale, heterogeneous ecosystems that are increasingly vulnerable to sophisticated, distributed cyber threats. How…