Microdata protection through approximate microaggregation
Paper
Paper/Presentation Title | Microdata protection through approximate microaggregation |
---|---|
Presentation Type | Paper |
Authors | Sun, Xiaoxun (Author), Wang, Hua (Author) and Li, Jiuyong (Author) |
Editors | Mans, Bernard |
Journal or Proceedings Title | Proceedings of the 32nd Australasian Computer Science Conference (ACSC 2009) |
ERA Conference ID | 42479 |
Journal Citation | 91 |
Number of Pages | 8 |
Year | 2009 |
Place of Publication | Adelaide, Australia |
ISBN | 9781920682729 |
Web Address (URL) of Paper | http://www.crpit.com/VolumeIndexU.html#Vol91 |
Conference/Event | 32nd Australasian Computer Science Conference (ACSC 2009) |
Australasian Computer Science Conference | |
Event Details | Australasian Computer Science Conference ACSC Rank B B B |
Event Details | 32nd Australasian Computer Science Conference (ACSC 2009) Event Date 19 to end of 23 Jan 2009 Event Location Wellington, New Zealand |
Abstract | Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine in August 2006. Many algorithms, methods and properties have been proposed to deal with microdata disclosure. One of the emerging In this paper, we apply the concept of entropy to propose a distance metric to evaluate the amount of mutual information among records in microdata, and propose a method of constructing dependency tree to find the key attributes, which we then use to process approximate microaggregation. Further, we adopt this new microaggregation technique to study $k$-anonymity problem, and an efficient algorithm is developed. Experimental results show that the proposed microaggregation technique is efficient and effective in the terms of running time and information loss. |
Keywords | microdata protection; privacy |
ANZSRC Field of Research 2020 | 460499. Cybersecurity and privacy not elsewhere classified |
460908. Information systems organisation and management | |
Public Notes | Deposited in accordance with the copyright policy of the publisher. |
Byline Affiliations | Department of Mathematics and Computing |
University of South Australia |
https://research.usq.edu.au/item/9yxyz/microdata-protection-through-approximate-microaggregation
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