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Cooperative Attack Detection Framework with the Focus on Identity Forage Attack in MANET


A. Kavitha and Dr.V.S. Meenakshi
Abstract

Security is the major concern in the Mobile Adhoc Network Environment. Cooperation is the necessary thing among the MANET nodes to avoid the security issues from the malicious attacker’s involvement. This is avoided in the existing work namely Cooperative Bait Detection Scheme (CBDS). CBDS method implements a Identity Forage based Collaborative Bait detection scheme to help in achieving the stated goal of avoiding the malicious attacks. However, the existing work only can identify the black hole and grey hole attacks which cannot detect the other types of attack such as wormhole attack which needs to be concentrated more to ensure the secured environment. Among all of the security attack in network layer, wormhole is very dangerous thread over the MANET, one malicious node receives packet from any node and forward that packet through tunnels to different number of malicious node in the network and it affects the entire routing process. This is resolved in this research work by introducing the method namely Identity Forage based Collaborative Bait detection scheme (IDF-CBDS). In this proposed research method, node addresses are not shared directly which is hidden by using group signature concept. The nodes that are participating in the network would be provided with the secret key by using which they would generate signature on route reply message of bait message. These authentications are performed in the cluster head which is selected optimally by using Ant Colony Optimization algorithm. Thus the malicious nodes can be easily differentiated from the genuine nodes. The overall evaluation of the proposed research work is done in the NS2 simulation environment from which it can be proved that the proposed research can attain better performance than the existing research techniques.

Volume 11 | 01-Special Issue

Pages: 7-20