Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing-Reference-Cited by-同舟云学术

Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing

Published:2014 Issue: Volume: Page:581-593
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Erfani Sarah M.,Law Yee Wei,Karunasekera Shanika,Leckie Christopher A.,Palaniswami Marimuthu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-06608-0_48

Reference24 articles.

1. Dung, L.T., Bao, H.T.: A Distributed Solution for Privacy Preserving Outlier Detection. In: Third International Conference on KSE, pp. 26–31 (2011)

2. Vaidya, J., Clifton, C.: Privacy-preserving outlier detection. In: IEEE ICDM, pp. 233–240 (2004)

3. Bhaduri, K., Stefanski, M.D., Srivastava, A.N.: Privacy-preserving outlier detection through random nonlinear data distortion. IEEE TSMC, Part B 41, 260–272 (2011)

4. Burke, J., Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Reddy, S., Srivastava, M.B.: Participatory sensing. In: ACM SenSys 1st Workshop on World-Sensor-Web: Mobile Device Centric Sensor Networks and Applications (2006)

5. Liu, K., Kargupta, H., Ryan, J.: Random projection-based multiplicative data perturbation for privacy preserving distributed data mining. IEEE TKDE 18(1), 92–106 (2006)

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