Abstract

Predicting and spotting black hole attacks helps ensure a secure network. Based on the document authority, trust valve, authentication of node, message integrity, and energy level, a new technique of fuzzy inference is proposed for the detection of black hole attacks in this method. The proposed work focuses mostly on node authentication. The fuzzy inference design approach provides better performance on issuing the certificates to the trustworthy nodes exclusively in MANET simulations conducted with the help of the network simulator NS2. As a result, this helps identify and defend against black hole attack-using rogue nodes. Throughput is increased, and End-to-End Delay is decreased, as a result of improvements made to the packet delivery ratio. This demonstrates the system's improved reliability and viability for military use. In order to enable the route discovery process, the initial step of the proposed work primarily focuses on authenticating MANET nodes. Based on factors including node authentication, trust values, certificate authority, energy level, and message integrity, a fuzzy inference method has been developed to identify black hole attacks. newline Mobile Ad hoc Networks (MANETs) provide a formidable challenge for the development of extremely efficient routeing techniques. In order to efficiently react to changes in network topology with little control overhead, minimise packet delay while maintaining a high packet delivery rate, and so on

Description