Affective Approach for Routing Attack Detection for Ad- hoc Mobile Networks Based on Trust Model
The mobile adhoc network is highly dependent on the energy parameter of the mobile
nodes, it suffers from different threats wich target the service performance of thed network. The
packets transferred through intermediate nodes are subject to attack and the routing informationhas
become a subject for malicious threats. In this paper a trust model is presented based on the
computation of different parameters to improve the performance of intrusion detection in mobile
adhoc network. The trust model computes the direct trust between different agents. Similarly the
method computes the indirect trust which is propagated by the direct trust which is computed
between third party. The method monitors the network and stores the logs about the data packet being
forwarded. At each time when a node has a packet it performs neighbor discovery and route
discovery. Then for each route the method compute the trust weight and each intermediate node has
been verified for its location factor. Based on trust weight computed the method selects an efficient
forwarding neighbor to send the data packet.Finally the method computes the recommendation trust
between different agents to perform intrusion detection. Using all these measures the method
performs intrusion detection on the mobile adhoc network.
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