A Novel Sybil Attack Detection Technique for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are susceptible to Sybil attacks in which malicious node creates a huge number of fake identities in order to gain an excessively high advantage through a Byzantine method. A Sybil node using only one physical device may generate random number of additional node identities and can be used to disrupt normal functioning of the WSN, such as multipath routing which is used to explore multiple disjoint paths between source and destination pairs. Recently, there has been a rising interest in leveraging WSN to mitigate Sybil attacks. Digital certificates are a way used to prove identities; however, they are not feasible in sensor networks. This paper aims to provide, defend against Sybil attack with the help of a trust based technique TBID (Trust Based Identity Detection) in WSN. The proposed scheme is based on the calculating trust values of adjacent sensor nodes. The nodes with the trust values less than a threshold value are detected as malicious (Sybil) node. The feasibility of TBID technique is demonstrated systematically, while experimental results of TBID in exposing Sybil attacks are expansively assessed equally mathematically and numerically. The acquire consequence show that the TBID attains significant attack detection rate than existing techniques.