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Optimized Trust Path for Control the Packet Dropping and Collusion Attack using Ant Colony in MANET
Author(s) -
S. Sugumaran*,
P. Venkatesan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9117.088619
Subject(s) - computer network , computer science , network packet , node (physics) , end to end delay , mobile ad hoc network , routing protocol , throughput , wireless ad hoc network , packet drop attack , link state routing protocol , wireless , engineering , telecommunications , structural engineering
In Wireless communication, Mobile Ad hoc Networks is a self organized structure-less network. MANET can be established easily in any kind of environment. At the same time vulnerable nodes are affected by various kinds of attacks due to changes in topology of the network. Dynamic routing protocols provide a multipath route between movable farthest nodes. In spite of that, malicious nodes in the network perform against the routing protocols. In the previous work of NNT to reduce packet dropping attacks in the node and improve node performance by Neighbor Node Trusted (NNT) concept, malicious and selfish nodes are identified by the time interval between the nodes. The Cluster supported trusting routing protocol(CSTRP) divides the networks into a number of clusters and in turn one of the nodes acts as Cluster-Head(CH) and CH controls the routing activity in the cluster. The CH deliberately monitors node trustworthiness and protects from malicious node and improves reliable security. This paper, proposing swarm intelligent method to select a trust path from different routes between source to destination, is called Trust path Ant Colony optimization (TpACo) algorithm, which serves as the best route and controls the Packet dropping attack and collusion in the network. The results of NS-2 simulator scrutinize the performance of TpACo in various situations. As such the Packet delivery Ratio increased 9.3% than NNT and CSTRP Algorithm. Besides End-to-End delay performance increases to 16%for NNT and 23% for CSTRP and Throughput increased 14.2 % then NNT and CSTRP.

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