Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 4
Page No. 694 - 702

An Analytical Approach to Detect and Isolate Attacks in Mobile Adhoc Networks Using Cross Layer Feedback

Authors : G. Usha, S. Kannimuthu, M. Karthi and J. Joshua

Abstract: Mobile Adhoc Network (MANET) is a self-organizing network consists of wireless mobile devices. In this study, we detect and isolate one particular type of attack known as black hole attack. Black hole attack is one of the most vulnerable attacks for MANET. In this study, an analytical model is also proposed to detect attacks. We adopted dynamic cross layer feedback technique to detect and isolate the attack. The proposed architecture uses three types of major parts known as cross layer feedback, detection and isolation. The proposed methodology is compared with existing methodology. Analytical and simulation results show that the proposed methodology performs well and improves packet delivery ratio and reduces packet drop ratio in dynamic changing MANET environment. Network overhead is also greatly reduced.

How to cite this article:

G. Usha, S. Kannimuthu, M. Karthi and J. Joshua, 2016. An Analytical Approach to Detect and Isolate Attacks in Mobile Adhoc Networks Using Cross Layer Feedback. Asian Journal of Information Technology, 15: 694-702.

Design and power by Medwell Web Development Team. © Medwell Publishing 2022 All Rights Reserved