Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing

Kabir, Md Enamul and Mahmood, Abdun Naser and Mustafa, Abdul K. and Wang, Hua (2015) Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing. IEEE Transactions on Cloud Computing, PP (99). pp. 1-22.

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In cloud computing, there have led to an increase in the capability to store and record personal data (microdata) in the cloud. In most cases, data providers have no/little control that has led to concern that the personal data may be beached. Microaggregation techniques seek to protect microdata in such a way that data can be published and mined without providing any private information that can be linked to specific individuals. An optimal microaggregation method must minimize the information loss resulting from this replacement process. The challenge is how to minimize the information loss during the microaggregation process. This paper presents a sorting framework for Statistical Disclosure Control (SDC) to protect microdata in cloud computing. It consists of two stages. In the first stage, an algorithm sorts all records in a data set in a particular way to ensure that during microaggregation very dissimilar observations are never entered into the same cluster. In the second stage a microaggregation method is used to create k-anonymous clusters while minimizing the information loss. The performance of the proposed techniques is compared against the most recent microaggregation methods. Experimental results using benchmark datasets show that the proposed algorithms perform significantly better than existing associate techniques in the literature.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 17 Mar 2016 05:55
Last Modified: 11 May 2017 06:24
Uncontrolled Keywords: privacy, microaggregation, microdata protection, k -anonymity, disclosure control
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
Identification Number or DOI: 10.1109/TCC.2015.2469649
URI: http://eprints.usq.edu.au/id/eprint/27629

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