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Title: Privacy preservation in streaming data collection
Authors: Ng, W.S.
Wu, H.
Wu, W.
Xiang, S.
Tan, K.-L. 
Keywords: Limited collection
Limited disclosure
Policy enforcement
Privacy preservation
Streaming data
Issue Date: 2012
Citation: Ng, W.S., Wu, H., Wu, W., Xiang, S., Tan, K.-L. (2012). Privacy preservation in streaming data collection. Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS : 810-815. ScholarBank@NUS Repository.
Abstract: Big data management and analysis has become a hot topic in academic and industrial research. In fact, a large portion of big data in service today are initially streaming data. To preserve the privacy of such data that are collected from data streams, the most efficient way is to control the process of data collection according to corresponding privacy polices. In this paper, we design a framework to support data stream management with privacy-preserving capabilities. In particular, we focus on two premier principles of data privacy, limited disclosure and limited collection. With these two principles guaranteed, the archived data will not necessarily be checked for privacy protection, before analysis and other operations can be done. © 2012 IEEE.
Source Title: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
ISBN: 9780769549033
ISSN: 15219097
DOI: 10.1109/ICPADS.2012.132
Appears in Collections:Staff Publications

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