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Mitigating combinatorial attacks in node to node communication using high level security measures based on analysis of efficiency factor through regression and deviation

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Abstract

In this contemporary world, mobile ad-hoc networks emerges as an imperative field in computer science. An application of MANET is vehicular networks (VANET) which gives its maximum coverage towards real time actions like vehicular traffic control etc. A mobile ad-hoc network is a network where nodes are movable in state, infrastructure-less, self-configuring and self-repairing from the disconnected links between the nodes. The network topology changes according to the nodes’ factors. Due to lack of monitoring, any node can join the network topology based on RF level or distance coverage. Any unauthorised node enters the network and involves in communication without any legalized acceptance from the network. In case of any unusual entry of the node will results in degrade in the network efficiency factors. Anyhow it will ruin the entire network performance and makes to split the topology which causes overhead to start from the initial process. In this paper, we combined one or more attacks by deploying one or more suspicious nodes into the network. By analysing the results from simulation various performance factors are compared based on several test cases. An authorised agent node is placed in the network and issues secret key value to the mobile nodes. Analysis form the results are calculated using regression and deviation method. This paper also gives the analysis of various combinatorial ways of deployed attacks in the network.

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Authors and Affiliations

  1. Saveetha University, Chennai, India

    V. M. Gayathri

  2. Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Kancheepuram, India

    R. Nedunchelian

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  1. V. M. Gayathri
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  2. R. Nedunchelian
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Correspondence to V. M. Gayathri.

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Gayathri, V.M., Nedunchelian, R. Mitigating combinatorial attacks in node to node communication using high level security measures based on analysis of efficiency factor through regression and deviation. Cluster Comput 22 (Suppl 1), 165–176 (2019). https://doi.org/10.1007/s10586-018-2004-7

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  • DOI: https://doi.org/10.1007/s10586-018-2004-7

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