ICTACT Journal on Communication Technology

J. Sybi Cynthia ¹, D. Shalini Punithavathani ²

Affiliations
1 Department of Computer Science and Engineering, C.S.I. Institute of Technology, IN
2 Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli, IN

Abstract

Wireless Sensor Networks (WSNs) deployed in the destructive atmosphere are susceptible to clone attacks. Clone attack in wireless sensor network is a complicated problem because it deployed in hostile environments, and also the nodes could be physically compromised by an adversary. For valuable clone attack detection, the selection criteria play an important role in the proposed work. In this paper, it has been classified the existing detection schemes regarding device type, detection methodologies, deployment strategies and detection ranges and far explore various proposals in deployment based selection criteria category. And also this paper provides a review of detection methodology based on various clone attack detection techniques. It is also widely agreed that clones should be detected quickly as possible with the best optional. Our work is exploratory in that the proposed algorithm concern with table assisted random walk with horizontal and vertical line, frequent level key change and revokes the duplicate node.Our simulation results show that it is more efficient than the detection criteria in terms of security feature, and in detection rate with high resiliency. Specifically, it concentrates on deployment strategy which includes grid based deployment technique. These all come under the selection criteria for better security performance. Our protocol analytically provides effective and clone attack detection capability of robustness.

Keywords

Clone Attacks, Wireless Sensor Networks, Node Replication Detection.

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C. Jehan ¹, D. Shalini Punithavathani ²

Affiliations
1 Department of Computer Science and Engineering, Tamizhan College of Engineering and Technology, IN
2 Government College of Engineering, Tirunelveli, IN

Abstract

In this paper, an efficient approach is proposed to address the problem of target tracking in wireless sensor network (WSN). The problem being tackled here uses adaptive dynamic clustering scheme for tracking the target. It is a specific problem in object tracking. The proposed adaptive dynamic clustering target tracking scheme uses three steps for target tracking. The first step deals with the identification of clusters and cluster heads using OGSAFCM. Here, kernel fuzzy c-means (KFCM) and gravitational search algorithm (GSA) are combined to create clusters. At first, oppositional gravitational search algorithm (OGSA) is used to optimize the initial clustering center and then the KFCM algorithm is availed to guide the classification and the cluster formation process. In the OGSA, the concept of the opposition based population initialization in the basic GSA to improve the convergence profile. The identified clusters are changed dynamically. The second step deals with the data transmission to the cluster heads. The third step deals with the transmission of aggregated data to the base station as well as the detection of target. From the experimental results, the proposed scheme efficiently and efficiently identifies the target. As a result the tracking error is minimized.

Keywords

Clustering, Dynamic, Target Tracking, Static, Oppositional, Gravitational Search.

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