Message authentication and wormhole detection mechanism in wireless sensor network

Abstract

One of the most effective way to prevent unauthorized and corrupted message being forwarded in wireless sensor network. But there is high computational and communication overhead in addition to lack of scalability and resilience to node compromise attacks. So to address these issues, a polynomial-based scheme was recently introduced. However, this scheme and its extensions all have the weakness of a built-in threshold determined by the degree of the polynomial. when the number of messages transmitted is larger than this threshold, the adversary can fully recover the polynomial. In the existing system, an unconditionally secure and efficient source anonymous message authentication (SAMA) scheme is presented which is based on the optimal modified Elgamal signature (MES) scheme on elliptic curves. This MES scheme is secure against adaptive chosen-message attacks in the random oracle model. This scheme enables the intermediate nodes to authenticate the message so that all corrupted message can be detected and dropped to conserve the sensor power. While achieving compromise resiliency, flexible-time authentication and source identity protection, this scheme does not have the threshold problem. While enabling intermediate nodes authentication, this scheme allows any node to transmit an unlimited number of messages without suffering the threshold problem. But by using this method the black hole and gray hole attacks are detected but wormhole attack is doesn't detect. Because the wormhole attack is one of the harmful attacks which degrade the network performance. So, in the proposed system, one innovative technique is introduced which is called an efficient wormhole detection mechanism in the wireless sensor networks. In this method, considers the RTT between two successive nodes and those nodes' neighbor number which is needed to compare those values of other successive nodes. The identification of wormhole attacks is based on the two faces. The first consideration is that the transmission time between two wormhole attack affected nodes is considerable higher than that between two normal neighbor nodes. The second detection mechanism is based on the fact that by introducing new links into the network, the adversary increases the number of neighbors of the nodes within its radius. An experimental result shows that the proposed method achieves high network performance.