Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework

arXiv:2406.17172v1 Announce Type: new
Abstract: This paper introduces a robust zero-trust architecture (ZTA) tailored for the decentralized system that empowers efficient remote work and collaboration within IoT networks. Using blockchain-based federated learning principles, our proposed framework includes a robust aggregation mechanism designed to counteract malicious updates from compromised clients, enhancing the security of the global learning process. Moreover, secure and reliable trust computation is essential for remote work and collaboration. The robust ZTA framework integrates anomaly detection and trust computation, …

aggregation anomaly detection architecture arxiv blockchain collaboration cs.cr cs.dc cs.lg decentralized detection federated federated learning framework iot malicious mechanism networks principles remote work system trust updates using work zero trust zero trust architecture zta