Ad hoc on-demand distance vector routing protocol (AODV) is the predominant reactive routing protocol designed for mobile ad hoc networks (MANETs). Routing protocols are the backbone of such networks to enable the routing under dynamic circumstances. Mobile ad hoc networks provide a promising opportunity for the applications requiring instant networking in the resource constraint, multi-hop wireless environment. In this approach a node calculates the threshold only for those nodes that have interacted first time. This thesis propose a novel approach to calculate threshold value, which is not based on iterative approach. This is not needed for those node that participated well in data communication. A node calculates this value iteratively for every received reply packet. Therefore a robust protocol is needed to prevent and detect these type of malicious activities.Īccording to the literature available, most of the Intrusion Detection System (IDS) uses a threshold value to detect black-hole attack. AODV is the mostĭemanding routing protocol in MANET due to its adaptive nature but it is vulnerable to security threats.
To perform this attack, an attacker exploits vulnerabilities of MANET’s routing protocol. In this attack, malicious node impersonates itself as a valid route for destination and once source selects it as a route, it starts dropping the data packets instead of forwarding. This thesis provides a solution to mitigate one of the most popular denial of service attacks “blackhole attack” performed on the network layer. In MANET each node works in cooperative manner to communicate with each other but some selfish nodes try to disturb network by imposing some malicious activities like dropping, forging and modifying data packets. In Mobile Ad-hoc Network (MANET), nodes are able to create network without any fixed infrastructure.
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