Zero Trust-Driven Collaborative Intrusion Detection in Internet of Things: A Continuous Trust Assessment Approach

This study presents a zero trust-driven collaborative intrusion detection architecture for IoT cloud-edge-end architectures. By integrating feature-based and anomaly-driven detection with dynamic trust management, the system dynamically verifies entities, mitigates internal and external threats, and ensures reliability in IoT environments through adaptive trust evaluation and distributed threat correlation.