Cross layer intrusion detection and prevention of multiple attacks in Wireless Sensor Network using Mobile agent

Abstract

Advance in technology leads to increasing interest in the use of Wireless Sensor Networks (WSNs). In WSNs, the sensor nodes are deployed in open and unprotected region. So, the sensor networks are vulnerable to a wide class of attacks such as sinkhole, wormhole and Sybil attack. In many-to-one communication the adversary attracts its surrounding neighbor nodes with false routing information and fake identities. The existing researches have focused on single layer attacks. In their work they target only one specific layer and detect the attack, without considering other layers into account. Our proposed detection technique maximizes the detection accuracy by using cross layer features and Mobile agent based approach in two phases. In first phase, attacks are detected by correlating the cross layer features such as MAC and Network layers. During second phase, if the attacks are detected, mobile agent based technique is applied to prevent the attack. Here the data is forwarded through the mobile agent. The mobile agent solves the security problem by using three step negotiations. Through this mobile agent based approach, the false positive rate can be reduced and improving the energy efficiency than the existing approach.