Secure Routing Protocol using Salp-Particle Swarm Optimization Algorithm
Heyan Zhang · Journal of Networking and Communication Systems (JNACS) · 2020
In the Internet of Things (IoT), the routing makes the security over several network attacks as any attacker intrudes routing method for establishing the destructive methods over a network that persist essentiality of security protocols in IoT.Hence, this work develops a secure protocol based on an optimization method, Salp and Particle Swarm Optimization algorithm (S-PSO) that is the hybridization of the Salp-Particle Swarm Optimization approach to provide effectual network security.At first, the effectual nodes are chosen by exploiting the multilayer-Feed Forward Neural Network (FNN) classifier based on factors, like the trust and energy of nodes.The secure nodes engross in routing for that secure multipath is selected optimally exploiting developed S-PSO method that selects secure multipath based on the factors such as energy, and trust.The study of the proposed algorithm in attendance of attacks, like message replicate, black-hole, and DDOS, discloses that the developed algorithm outperforms the conventional algorithms.The developed Salp-PSO protocol obtained the high throughput, energy, and the rate of detection, correspondingly with the least delay.