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DOI: 10.14569/IJACSA.2015.060511
PDF

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

Author 1: Hosny M. Ibrahim
Author 2: Nagwa M. Omar
Author 3: Ebram K. William

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 5, 2015.

  • Abstract and Keywords
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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.

Keywords: MANET; AODV; Black Hole Attack; Gray Hole Attack; Cooperative Black Hole Attack

Hosny M. Ibrahim, Nagwa M. Omar and Ebram K. William, “Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique” International Journal of Advanced Computer Science and Applications(IJACSA), 6(5), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060511

@article{Ibrahim2015,
title = {Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060511},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060511},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {5},
author = {Hosny M. Ibrahim and Nagwa M. Omar and Ebram K. William}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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