TY  - JOUR
T1  - Avoidance of Black Hole Attack in MANET Using Intrusion Detection with Credit Based Ranking Algorithm
AU - Mahalakshmi, K. AU - Sharmila, D. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 12
SP  - 1996
EP  - 2004
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1996.2004
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1996.2004
KW  - MANET
KW  -intrusion detection agent node
KW  -credit based ranking
KW  -anti-block hole mechanism
KW  -packet
AB  - Mobile Ad hoc network (MANET) is an infrastructure less multi-hop network which makes it more vulnerable to various security threats. The black hole attack is one of the severe threat that affects the routing in MANET. To prevent this black hole attack, an efficient Intrusion Detection Agent Node using Credit Based Ranking (IDAN-CBR) Model is developed. The IDA node performs the credit value estimation and assign the rank to all nodes in the network at regular interval. Then, Anti-Block hole Mechanism (ABM) is applied to easily calculate the suspicious value of a node along with the anomalous difference between the routing messages transmitted from the node. If the suspicious value of the node is greater than the threshold value, IDAN transmits a block message, notifying all nodes on the network, requesting them to collaboratively avoid the malicious node in the network. The Intrusion Detection Agent Node using Credit Based Ranking (IDAN-CBR) addresses all types of black hole attacks in mobile networks. Simulation is carried out on the factors such as the packet delivery ratio, packet delivery overhead due to black hole attacks, time to identify the black hole attack and black hole attack avoidance rate.
ER  -