Cellular automata trust-based energy drainage attack detection and prevention in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) connect many tiny, self-configured, and limited power sensor nodes. The primary purposes of these nodes are to sense information from the environment or system, process this information, and send it to the base station. In recent research, communities have drawn significant attention to Fifth Generation (5G) based WSNs for real-time communications over 5G. These networks are deployed and operated in hard-to-reach terrains to collect data. During such operations, WSNs face resource limitations, battery power, and inadequate resources for computation. The tremendous demands of 5G in WSNs make energy conservation a significant concern. An energy-efficient routing protocol such as Low Energy Adaptive Clustering Hierarchy (LEACH) that can extend the lifetime of these networks is prevalent. There is a dire need to analyze the efficiency of the LEACH protocol. In this paper, we analyze LEACH protocol under energy-drainage attacks, Gray-Hole, and scheduling. Subsequently, We propose a Trust-based Cellular Automata energy drainage detection and prevention scheme (CAT-EDP) to detect and then minimize the effects of these attacks. The simulation results demonstrate that the proposed technique uses cellular automata to detect and prevent energy drainage attacks on LEACH protocol. Moreover, the proposed technique has optimized the network lifetime up to 11%.