International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,May 2017,

Topic : Design and Analysis of Fuzzy Based Wormhole Detection in MANET

Authors:Abhijit Ghanshyam Raut || D. Vydeki

Abstract:Currently, wireless communication is becoming a major part of our day today life. Due to immense growth in the turf of wireless communications, different types of wireless networks such as Vehicular Ad-Hoc Networks (VANET), Mobile Ad-Hoc Networks (MANET) play a key role in communication systems. MANETs are the ones having free mobile nodes which can traverse throughout the system and can be a host, furthermore a router for transmitting /forwarding data packets to the distant node. As this system lacks centralized coordinator and is a self-organized, self-healing network without infrastructure, their adaptive nature and frequently changing topology it is more likely endangered to different security attacks such as black hole attack, wormhole attack etc. This paper emphases on providing a solution for secure transmission through the network. In this paper, we aimed at detecting wormhole attack in MANET using Fuzzy Inference System. As it is one of the dangerous active attacks on the network layer of MANET, in which data packet can get lost or replayed within the system by the wormhole nodes which can be more than a pair and are situated at different points within the system. To detect the wormhole nodes in the system, we have measured parameters such as No. of dropped packets, Reply packets, Forwarded packets to collect the data for analysis. The key objective of our paper is to detect the presence of wormhole attack in MANET. This is done by proposing soft computing algorithms such as Fuzzy Inference System (FIS). The suggested algorithm identifies wormhole nodes based on the above parameters..

Keywords: MANET, Wormhole attack, AODV protocol, Soft computing algorithms.

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DOI: 01.1617/vol4/iss5/pid36780

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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