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Title

Enhancement of MANET Security Using Modified Median Deviated Correlation and Regression Algorithms

Author

Sayan Majumder and Debika Bhattacharyya

Citation

Vol. 22  No. 6  pp. 457-464

Abstract

MANET has drawn attention to researcher nowadays because of their uplifting demand. Wireless interface is endangered to different threats, as this network allows wireless technology and the procedure is very tough to defend or enhance the solidity of wireless network. In this analysis, least square and least deviated regression techniques are wielded to assess the design of wireless network safety. Accuracy percentage is also restrained for both algorithms. Then absolute deviation correlation over median is plied to inflate the security due to worm hole, black hole and Sybil attack. To build up the security, we have tried to polish up the throughput, delay variance, route discovery time and hops per second using our MAD Correlation (Absolute Deviation over Median) algorithm. AODV routing algorithm is employed here. We have implemented our algorithms in MATLAB and at last made a comparative analysis on how our algorithms enhanced the safety in MANET from these threats.

Keywords

AODV, Correlation, LAD, MLS, MANET, Median, Regression

URL

http://paper.ijcsns.org/07_book/202206/20220658.pdf