Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

Abstract

Nowadays, energy optimization and data security are considered important security challenges while designing the network topology of Wireless Sensor Networks (WSNs). The problem of malicious nodes is required to be addressed to improve energy consumption and data delivery. Since the wireless sensor devices are energyconstrained, the issue of high packet loss by the malicious nodes must be addressed to enhance the network performance by making reduced energy consumption and delay. In this paper, a multi objective trust aware hybrid optimization (MOTAHO) is proposed to perform a secure data transmission over the WSN. The hybrid optimization is the combination of the moth flame and chicken swarm optimization (CSO), where it considered four distinct parameters such as trust, distance, energy, and number of hops for a secure cluster head (CH) selection and routing path generation. The developed MOTAHO method is used to provide security against the distributed denial of service (DDoS) attack. The performance of the MOTAHO method is analyzed in terms of routing load, packet delivery ratio (PDR), packet loss ratio (PLR), and average energy consumption. The existing methods namely secure routing protocol based on multi-objective ant-colony-algorithm (SRPMA), Energy-aware trust and opportunity-based routing (ETOR) for mobile nodes (MN) and grey wolf updated whale optimization algorithm (GU-WOA) are used to evaluate the effectiveness of the MOTAHO method. The PDR of the MOTAHO method is 97.44% for 4 DDoS attacks, which is high when compared to the SRPMA and ETOR-MN.