International Journal of Computational Intelligence Research

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Anonymity Trust Management Scheme (ATMS) for Clustered Wireless Sensor Networks


Affiliations
1 Department of Computer Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India
2 Indian Institute of Science, Bangalore, India
     

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Wireless Sensor Networks consists of sensor nodes that are capable of sensing information in the area of interest and maintaining security is a very important issue. The existing Trust Management Scheme is prone to security issues and adversaries can determine the trust values by adapting traffic analysis attack. In this paper, we have proposed an Anonymity Trust Management Scheme (ATMS) to enhance the security level in WSNs. Our approach provides a secure and stable path for communication which overcomes the effects of node compromise. It is observed that the performance of the network is better than existing schemes through simulation.

Keywords

Anonymity, Cluster Head, Peer Recommendation, Subrange Values, Trust Value, Wireless Sensor Networks
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  • Anonymity Trust Management Scheme (ATMS) for Clustered Wireless Sensor Networks

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Authors

K Shaila
Department of Computer Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India
S H Manjula
Department of Computer Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India
K R Venugopal
Department of Computer Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India
L M Patnaik
Indian Institute of Science, Bangalore, India

Abstract


Wireless Sensor Networks consists of sensor nodes that are capable of sensing information in the area of interest and maintaining security is a very important issue. The existing Trust Management Scheme is prone to security issues and adversaries can determine the trust values by adapting traffic analysis attack. In this paper, we have proposed an Anonymity Trust Management Scheme (ATMS) to enhance the security level in WSNs. Our approach provides a secure and stable path for communication which overcomes the effects of node compromise. It is observed that the performance of the network is better than existing schemes through simulation.

Keywords


Anonymity, Cluster Head, Peer Recommendation, Subrange Values, Trust Value, Wireless Sensor Networks

References