Research Article
Detecting and Avoiding Wormhole Attack in MANET Using Statistical Analysis Approach
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@INPROCEEDINGS{10.1007/978-3-642-27299-8_42, author={Saurabh Upadhyay and Brijesh Chaurasia}, title={Detecting and Avoiding Wormhole Attack in MANET Using Statistical Analysis Approach}, proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I}, proceedings_a={CCSIT PART I}, year={2012}, month={11}, keywords={MANET Wormhole attack Wormhole detection technique Wormhole prevention Statistical mechanism}, doi={10.1007/978-3-642-27299-8_42} }
- Saurabh Upadhyay
Brijesh Chaurasia
Year: 2012
Detecting and Avoiding Wormhole Attack in MANET Using Statistical Analysis Approach
CCSIT PART I
Springer
DOI: 10.1007/978-3-642-27299-8_42
Abstract
A mobile ad hoc network (MANET) consists of a collection of wireless mobile nodes that forms a temporary network without having any fixed infrastructure or centralized administration. MANET is infrastructure-less, lack of centralized monitoring and dynamic changing network topology. MANET is highly vulnerable to attack due to open error prone shared wireless medium. In this paper, we proposed an algorithm for avoiding and preventing the wormhole attacks in MANET using statistical analysis approach. Simulation and results show that efficacy of proposed algorithm and the proposed heuristics provides better security and performance than conventional AODV in the presence of wormhole attack.
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