Abstract: Mobile Ad Hoc Network (MANET) is a cluster of portable wireless nodes that energetically organize an interim system. MANETs typically configured without any single control unit; devices operating in a MANET depend on external groups to route information towards their targets. There may be risks of various forms of malware attacks in these networks that can trigger the whole system to break. The black hole attack is one of the noteworthy outbreaks in the most prevalent on-demand routing protocols ad hoc network. In this paper, a novel approach proposed to find the black hole attacks in MANETs and to protect against the threat. The method proposed is based on promiscuous listening and is used to identify nodes that misbehave. For a particular node, the number of data packets lost and the number of data packets successfully transmitted can be identified by the node constitutes a criterion for labeling the node as either disobeying or well-behaving. Based on the threshold value, disobeying and well behaving nodes are identified. Once finding a disobeying node, the finding node tries to stop the node from being misbehaved and routes the packets through a separate direction to reach a secure route. The metrics such as packet size, overhead, average End to end delay evaluated by simulation. The result shows that in the presence of black holes with minimum delay and better packet delivery ratio. The proposed black hole AODV outperforms than the traditional AODV.
Keywords: On-Demand distance vector, Proactive, Replication, Routing Information table.
| DOI: 10.17148/IJARCCE.2020.9515