Volume 18, No. 6, 2021
Black Hole Attack Detection In Mobile Ad Hoc Networks Using Optimization Techniques
Dr. R.Sujatha
Abstract
A mobile ad-hoc network (MANET) is a wireless mobile node network that is generated on the fly. In a MANET, it is assumed that all nodes can work together to transmit data packets in a multi-hop manner. Some malicious nodes, on the other hand, refuse to cooperate with other nodes and cause network disruption by providing false routing information. Any node in a MANET can join or leave the network at any time. Using given routing protocols and mobility models, nodes may send and receive data. MANETs are vulnerable to various network layer attacks due to the lack of a centralised infrastructure. Network layer attacks such as Worm Hole, Black Hole, Gray Hole, Byzantine, and Sybil Attacks disrupt network topology, resulting in data loss and network degradation. A node declares itself to have the nearest paths to all of the destinations in the Black Hole Attack. Through using the routing protocol, this node consumes all of the network's data packets, lowering network performance. In this study, optimization algorithms are used to locate the MANET's black hole node. To find the single black hole attack in the network, the optimization algorithms Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) are combined. The performance of the proposed Optimizations based on Single Black Hole Attack (OSBHA).
Pages: 4392-4403
Keywords: Mobile Ad Hoc Network (MANET), Denial of Service Attacks, Black Hole Attack, Optimization Algorithm, Malicious Node