A Fuzzy Based Approach to Detect Black hole Attack
Poonam Yadav1, Rakesh Kumar Gill2, Naveen Kumar3
1Poonam yadav, Research scholar, Department of electronics & communication, MDU, Rohtak, India,
2Rakesh Kumar Gill, Assistant Professor, Department of Electronics & Communication, GITM, Gurgaon, Haryana, India,
3Naveen kumar, Research scholar, Department of electronics & communication, MDU, Rohtak, India,
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 388-391 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0795062312 /2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Wireless network is a dynamic network with large no. of nodes. As the traffic increases over the network such type of network suffers from the problems like congestion and packet loss. But in case of Mobile network there is one more problem regarding the life of the network. A network can be affected from some Black hole attack over the network As a result some loss of information occur over the communication. The packet loss is acceptable up to some threshold value but as there is more packet loss we need some solution for this. The same solution is presented in this paper. Here we are presenting a fuzzy based decision to check a node is infected by Black hole attack or node. The proposed system will identify the attack over the node as well as provide the solution to reduce the data loss over the network.
Keywords: Wireless, Mobile, Elimination, Black Hole, Fuzzy Rule