Date of Publication :30th May 2018

Abstract: Visual sensor networks (VSNs) are highly exposed to attacks since they are arranged openly in possibly solitary environments. Due to the bulky and bursty data traffic in VSN, it thrusts the need to establish mechanisms which provide reliable data communication across the network over the unreliable channels. Optimized Adaptive Boosting (OAB) algorithm is used for detection of anomalies in sensor nodes, cluster head nodes and Sink nodes. In this paper, in order to identify the modified packets or attacked packets at the receiver side, we propose a protocol named Efficient Secure Routing for Attacker Identification (ESRAI). This paper proposes an integrated intrusion detection model of cluster-based visual sensor network by combining anomaly and misuse detection, aiming at enhancing overall detection, security and System Accuracy. The proposed integrated model provides high throughput and more security, and it increases the efficiency of entire network when compared to the existing network.

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