Research and publications
Explainable AI for operational security
My research examines how temporal behavior, device context, and multiple data modalities can make IoT intrusion-detection explanations more useful and trustworthy.
ICAART 2026 · Peer-reviewed conference paper
Adaptive Multimodal Temporal Feature Attribution (AMTFA): A Novel Explainable AI Framework for IoT Intrusion Detection
Moez Zhioua and Asma Amdouni. Published in the Proceedings of the 18th International Conference on Agents and Artificial Intelligence, Volume 3, pages 2923–2930.
- Research areas
- Explainable AI, IoT security, temporal attribution, intrusion detection