Mody University International Journal of Computing and Engineering Research

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


Affiliations
1 Department of Electronics and Communication Engineering, College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India
 

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

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Authors

Vikas Raina
Department of Electronics and Communication Engineering, College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India
Sulekha Kumari
Department of Electronics and Communication Engineering, College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India
Partha Pratim Bhattacharya
Department of Electronics and Communication Engineering, College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India
V. K. Jain
Department of Electronics and Communication Engineering, College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, India

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..

References