title   
  

Instant anonymization

Nergiz, Mehmet and Tamersoy, Acar and Saygın, Yücel (2011) Instant anonymization. ACM Transactions on Database Systems, 36 (1). ISSN 0362-5915

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Official URL: http://dx.doi.org/10.1145/1929934.1929936

Abstract

Anonymization-based privacy protection ensures that data cannot be traced back to individuals. Researchers working in this area have proposed a wide variety of anonymization algorithms, many of which require a consid- erable number of database accesses. This is a problem of efficiency especially when the released data is subject to visualization or when the algorithm needs to be run many times to get an acceptable ratio of privacy/utility. In this paper, we present two instant anonymization algorithms for the privacy metrics k-anonymity and l-diversity. Proposed algorithms minimize the number of data accesses by utilizing the summary structure already maintained by the database management system for query selectivity. Experiments on real data sets show that in most cases our algorithm produces an optimal anonymization, and it requires a single scan of data as opposed to hundreds of scans required by the state-of-the-art algorithms.

Item Type:Article
Additional Information:Article Number: 2
Subjects:Q Science > Q Science (General)
ID Code:15264
Deposited By:Yücel Saygın
Deposited On:29 Nov 2010 10:17
Last Modified:25 May 2011 14:15

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