Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2008.4497558
Title: Anonymizing streaming data for privacy protection
Authors: Li, J.
Ooi, B.C. 
Wang, W.
Issue Date: 2008
Source: Li, J., Ooi, B.C., Wang, W. (2008). Anonymizing streaming data for privacy protection. Proceedings - International Conference on Data Engineering : 1367-1369. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2008.4497558
Abstract: In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers, not just transactions, and thus have to be carefully managed to protect customers' privacy. This paper presents a novel method called SKY (Stream K-anonYmity) to continuously facilitate k-anonymity on data streams. Experimental results show that SKY is efficient and effective. © 2008 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/39910
ISBN: 9781424418374
ISSN: 10844627
DOI: 10.1109/ICDE.2008.4497558
Appears in Collections:Staff Publications

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