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A Hybrid Optimization Algorithm and Shamir Secret Sharing Based Secure Data Transmission for IoT based WSN

Nowadays, Wireless Sensor Networks (WSNs) are extensively utilized as the communication system in the Internet of Things (IoT). Security of the sensor nodes is considered as one of the important aspects of the IoT-based WSN because the nodes in the network are susceptible to malicious attackers. The main objective of this investigation is to generate secure routing and mutual authentication over the IoT-based WSN. In this paper, the Hybrid Optimization Algorithm (HOA) based secure Cluster Head (CH) selection and routing path generation is obtained for secure data transmission. The HOA is the combination of the Grey wolf optimization (GWO) and Moth Flame Optimization (MFO) whereas the fitness functions are trusted value, residual energy, distance and node degree. Additionally, the Shamir Secret Sharing (SSS) method is used for providing mutual authentication between the nodes. The performance of the HOA-IoT-WSN is analyzed in terms of Packet Delivery Ratio (PDR). Packet Loss Ratio (PLR), Average Endto-End Delay (AEED) and network overhead. An existing method such as Energy-efficient and Secure Routing (ESR) protocol, Hybrid Harris Hawk and Salp Swarm (HHH-SS), and Light Weight Trust Sensing (LWTS) methods are used to evaluate the proposed HOA-IoT-WSN method. The PDR of the HOA-IoT-WSN method is 99.848% for 100 nodes, it is high when compared to the ESR, HHH-SS and LWTS.