Publication

Abstract : Networks of wireless sensors (WSNs) experience growing utilization across vital applications that include environmental observations and smart cities as well as automation systems in factories. The decentralized structure of wireless sensor networks alongside resource limitations creates security holes that enable malicious node attacks to disrupt network functionality and reliability. This study presents a combined detection method which employs Dempster-Shafer Theory (DST) and trust-based metrics to detect malicious network nodes. The framework utilizes trust score collection from neighboring nodes to implement Dempster-Shafer Theory for effective uncertainty management in trust evaluation. The system utilizes the Contiki operating system for implementation and runs simulations through the Cooja simulator. The experimental findings demonstrate that the new detection method maintains high packet delivery rates and decreases end-to-end delay while sustaining energy efficiency across various network structures.