Open access
Jun 2026
A blockchain-enabled hybrid intrusion detection framework for resource-constrained devices
This work presents a lightweight, blockchain-secured distributed IDS for IoT networks that combines anomaly-based detection using federated learning, Snort-based signature detection, and host-based log analysis with transformer models and mitigates the impact of malicious updates.
Charles Stolz, Jielun Zhang
· PeerJ Computer Science · 0 citations