From the 1 of 3 linked papers with an AI index.
3 papers
cs.CR2026
Green Deep Reinforcement Learning for IoT Edge Intrusion Detection
Saeid Jamshidi, Foutse Khomh, Rolando Herrero +2
The paper introduces two carbon‑aware deep reinforcement learning intrusion detection systems for IoT edge gateways, one label‑free (DeepEdgeIDS) and one supervised (AutoDRL‑IDS),…
cs.CR2026
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.CR2026
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…