RECOGNITION OF BLACK HOLE ATTACKS IN MANET USING EFFICIENT AD-HOC ON-DEMAND DISTANCE VECTOR (E-AODV) PROTOCOL

Abstract

MANET is a dynamic network consisting of mobile nodes and is easy to set up anywhere without using a fixed network infrastructure such as a base station. Due to this dynamic nature, MANET becomes vulnerable to security attacks. One of the major attacks that occur in MANET is black hole attack. Black hole attack causes the data packets around the attacker's node to be lost and ultimately the network suffers from data loss. Selection of the right routing protocol is one effort to minimize the impact of black hole attacks. This research was made to enhance the efficiency of AODV routing protocol to diagnose the impact of black hole attacks. The results of this study indicate that several QoS values ??such as throughput,delayand packet loss. However, while evaluating the results in the scheme the test results can be seen when the simulation with a black hole detection mechanism makes the packet loss value smaller than when there is no detection mechanism. The packet loss value in the random walk movement decreased from 76.17% in a black hole condition to 41.24% as the nodes increase from 20 numbers to 30 numbers respectively in a black hole detection mechanism.