Distributed Location and Trust Based Replica Detection in Wireless Sensor Networks

As wireless sensor networks (WSNs) are widely used in unattended environments, various physical attacks are occurred easily. In this paper, location and trust based replica detection (LTBRD) method is introduced to identify the replication attack in the wireless sensor network. As sensor nodes are not tamper proof, all the credentials can be copied into any number of nodes. In order to solve this issue, behavior based and certificate based trust along with location information is followed in our proposed LTBRD approach. Depending upon the location mismatch and the trust value the malicious node will be identified and it will be revoked from the network. In this approach, the efficiency of the algorithm is been achieved by aggregation as well as without aggregation. The performance of LTBRD is evaluated with the help of detection probability, energy consumption, network delay, memory requirement. The performance of LTBRD is proven theoretically and the result shows that the proposed algorithm outperforms well when compared with the existing algorithms such as RED and LSM.