Malicious Node Detection and Path Malicious Node Detection and Path Malicious Node Detection and Path Malicious Node Detection and Path Optimization: Optimization: Optimization: A R A R eview

Detection of a malicious node in neighbourhood is a requirement because otherwise that node may cause incorrect dec isions or energy depletion. The methods to detect malicious n ode include the role-based trust approach, event-based trust approa ch, collaborative trust approach, and agent-based trust approach, neu ral-based approach. After malicious node detection we need to either correct it or choose another path. For choosing path we nee d to select optimized path from alternatives available. An opti mization method that requires moderate memory and computational resources and produces good results is desirable. Swarm Intellige nce is subfield of provides solution for complex optimization probl ems which are not easily tackled by other approaches. SI mainly c onsists on Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Honeybees paradigms.