Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

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) · Vol. 6, No. 5 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.060511

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

How to Cite this Article

Ibrahim, H. M., Omar, N. M., & William, E. K. (2015). Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique. International Journal of Advanced Computer Science and Applications, 6(5). https://doi.org/10.14569/IJACSA.2015.060511

Ibrahim, Hosny M., et al.. "Detection and Removal of Gray, Black and Cooperative Black Hole Attacks in AODV Technique." International Journal of Advanced Computer Science and Applications, vol. 6, no. 5, 2015, https://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},
  volume    = {6},
  number    = {5},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Hosny M. Ibrahim and Nagwa M. Omar and Ebram K. William},
  doi       = {10.14569/IJACSA.2015.060511},
  url       = {https://doi.org/10.14569/IJACSA.2015.060511}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.