TY  - JOUR
T1  - An Analytical Approach to Detect and Isolate Attacks in Mobile Adhoc Networks Using Cross Layer Feedback
AU - Usha, G. AU - Kannimuthu, S. AU - Karthi, M. AU - Joshua, J. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 4
SP  - 694
EP  - 702
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.694.702
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.694.702
KW  - Mobile Adhoc Network (MANET)
KW  -cross layer
KW  -black hole attack
KW  -Adhoc On Demand Distance Vector (AODV)
KW  -PMC
AB  - 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.
ER  -