Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique

Abstract

Mobile ad hoc network (MANET) is an autonomous self-configuring infrastructure-less wireless network. MANET is vulnerable to a lot of routing security threats due to unreliability of its nodes that are highly involved in the routing process. In this paper, a new technique is proposed to enhance the security of one of the most popular MANET routing protocols that is called Ad hoc on Demand Distance Vector (AODV) with minimum routing overhead and high packet delivery ratio. The proposed technique intends to detect and remove black, gray, and cooperative black hole AODV attacks depending on a mobile backbone network constructed from randomly moving regular MANET nodes based on their trust value, location, and power. The backbone network monitors regular nodes as well as each other to periodically estimate monitoring trust values which represent the reliability of each node in the network. The drop in the monitoring trust value of any node is used as a clue to its malicious behavior. The backbone network also tries to bait the malicious nodes to reply to a request for a route to fake destination address. The proposed technique uses the control packets of the AODV to exchange its control information which highly reduces the overhead. The simulation results show that the performance of the proposed technique is more secure than AODV and the other recently introduced techniques.

Authors and Affiliations

Hosny Ibrahim, Nagwa Omar, Ebram William

Keywords

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  • EP ID EP127401
  • DOI 10.14569/IJACSA.2015.060511
  • Views 82
  • Downloads 0

How To Cite

Hosny Ibrahim, Nagwa Omar, Ebram William (2015). Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique. International Journal of Advanced Computer Science & Applications, 6(5), 60-70. https://europub.co.uk./articles/-A-127401