Tarik Taleb
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Crypto×1
Frequent co-authors
Research Timeline
2026
Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning
The paper proposes a novel Federated Learning framework combined with Homomorphic Encryption and a dynamic agent selection scheme to enhance privacy and efficiency for anomaly detection in the Industrial Internet of Things (IIoT).
Highlighted terms show continued research focus across papers