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The Evaluation and Detection of Sinkhole Attack by Implementing Genetic Algorithm in MANET

Mody University International Journal of Computing and Engineering Research

Volume 1 Issue 2

Published: 2017
Author(s) Name: Vikas Raina, Sulekha Kumari, Partha Pratim Bhattacharya and V. K. Jain | Author(s) Affiliation: Dept. of ECE, College of Engineering and Technology, Mody Univer. of Scie. & Tech., Rajasthan
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Abstract

In a mobile ad-hoc network (MANET), there is a temporary network setup by wireless nodes which randomly move and communicate in the absence of proper infrastructure of network. MANETS are prone to various kinds of attacks due to its various features of dynamic changing topology, limited battery life and distributed nature. One of the attacks which affect the network is sinkhole attack. This paper mainly includes the optimization of data packets and data route for sinkhole attack using weight function over the network based on genetic algorithm and compare the results with and without optimization of sinkhole attack in the network.

Keywords: MANET, Sinkhole Attack, AODV Routing Protocol, Genetic Algorithm, Energy Consumption, Packet Delivery Ratio, Throughput..

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