Enhanced bee colony optimization algorithm based effective sinkhole detection in Internet of Things

The identification of sinkhole attacks in an Internet of Things (IoT) network presents a formidable challenge due to the presence of a centralized control system only responsible for data collection. The identification of the affected nodes and the subsequent alerting of neighbor nodes pose significant challenges within the field of distributed computing. The present study aims to create a voting-based solution for the detection of sinkhole attacks, including an optimization viewpoint. In this study, we used the Enhanced Bee Colony optimization technique to efficiently generate a reduced Boolean key for the purpose of spreading a suspect list across notified nodes. The experimental outcomes of our suggested study have been assessed with contemporary algorithms. The performance analysis demonstrates the influence of the proposed algorithm on IoT networks, particularly in comparison to other preexisting algorithms. The lifetime of the network enhanced by 12.3% on comparing the results with existing methods.