Evaluation of Legitimacy of IoT Devices Based on an Energy-Efficient Trust Management Scheme in Information-Centric Networking

A rapidly developing future technology, wireless sensor networks (WSNs) have promise for a wide range of military and business applications. Potential safety issues could affect WSN technology because it combines wireless communications with processing capacity. A novel networking architecture on the Internet of Things (IoT) called information-centric networking (ICN) provides more security than standard Internet Protocol (IP) networks. However, it still experiences a lot of security issues, particularly from internal attacks. Applying trust management technologies is an effective way to secure against internal threats. Therefore, an evolutionary particle swarm optimization energy-efficient trust management scheme (EPSO-EETMS) is proposed to evaluate the legitimacy of IoT devices and nodes. The data regarding routing pathways using trust can identify various types of attacked solutions. The proposed solution is thoroughly evaluated using some networking parameters, such as the distance between devices, energy use, and information loss during data transmission. These practical factors include energy consumption when transmitting data between nodes, message delivery to previous or subsequent nodes, and distance between two devices. According to the evaluation results, the proposed strategy outperforms standard techniques in terms of response time, authentication delays, and the number of requests from fake nodes. The accuracy of the proposed technique is obtained to be 98.66% for 100 nodes, which is higher than that of existing routing techniques.