A Novel Based Fuzzy Cognitive Maps Protocol for Intrusion Discovery in Manets
D. Rajalakshmi1, K. Meena2
1Ms. D. Rajalakshmi, Research Scholar, Assistant Professor, Department of Computer Science and Engineering, Sri Sairam Institute of Technology, Vel Tech Rangarajan Dr. Sagunthala R& D Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. K. Meena, Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R& D Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 April 2019 | Revised Manuscript received on 07 May 2019 | Manuscript Published on 17 May 2019 | PP: 339-344 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10650476S419/2019©BEIESP
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© The Authors. 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 MANET’s affords the communication among several nodes via a shared wireless channel. Communication is done without the support of a stable network structure. Since the purpose of wireless networks has improved, safety inside the MANET’s come to be further essential consequently. This situation will be active and competent for discovering intrusions. An effective intrusion discovery system properly finds the regular and mischievous node events. The numbers of new attacks are enlarged rapidly and attacks must be discovered earlier they be capable of do any maltreatment to the systems or data. Intrusion discovery system focuses to discover threats on mobile nodes or intrusions in that ad hoc network. Here, proposing a proficient system for examining also discovering a mischievous nodes using Fuzzy Cognitive Maps (FCM’s) protocol. Using Fuzzy Cognitive Maps protocol in order to discover the mischievous node with great precision and less erroneousness as well as it helps to develop the performance of a system.
Keywords: MANET, Intrusion Detection, Security, AODV and FCMs.
Scope of the Article: Fuzzy Logics