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Publication Type : Conference Paper
Publisher : IEEE
Source : 2010 IEEE International Conference on Computational Intelligence and Computing Research, IEEE, Coimbatore, India (2010)
Campus : Chennai
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2010
Abstract : Wireless Sensor Network (WSN) is an emerging technology that shows great promise for various futuristic applications both for mass public and military. The sensing technology combined with processing power and wireless communication makes it lucrative for being exploited in abundance in future. The inclusion of wireless communication technology also incurs various types of security threats. Although the content of sensor messages describing “events of interest” may be encrypted to provide confidentiality, the context surrounding these events may also be sensitive and therefore should be protected from eavesdroppers. An adversary armed with knowledge of the network deployment, routing algorithms, and the base-station (data sink) location can infer the temporal patterns of interesting events by merely monitoring the arrival of packets at the sink, thereby allowing the adversary to remotely track the spatio-temporal evolution of a sensed event. One of the most notable challenges threatening the successful deployment of sensor systems is privacy. Although many privacy-related issues can be addressed by security mechanisms, one sensor network privacy issue that cannot be adequately addressed by network security is source-location privacy.
Cite this Research Publication : R. Prasanna Kumar and Ravi, T., “FFT based data perturbation method in WSN routing”, in 2010 IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India, 2010.