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2008 Third International Conference on Availability, Reliability and Security (2008)
Mar. 4, 2008 to Mar. 7, 2008
ISBN: 978-0-7695-3102-1
pp: 1260-1265
ABSTRACT
It is important to achieve energy efficient data mining in Wireless Sensor Networks (WSN) while preserving privacy of data. In this paper, we present a privacy preserving data mining based on Support Vector Machines (SVM). We review the previous approach in privacy preserving data mining in distributed system. And we also review energy efficient data mining in WSN. We then propose an energy efficient privacy preserving data mining in WSN. We use SVM because it has been shown best classification accuracy and sparse data presentation using support vectors. We show security analysis and energy estimation of our proposed approach.
INDEX TERMS
Sensor networks, privacy preserving data mining, security, data mining, energy efficiency
CITATION

D. S. Kim, M. A. Azim and J. S. Park, "Privacy Preserving Support Vector Machines in Wireless Sensor Networks," 2008 Third International Conference on Availability, Reliability and Security(ARES), vol. 00, no. , pp. 1260-1265, 2008.
doi:10.1109/ARES.2008.151
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