Injecting purpose and trust into data anonymisation

Sun, Xiaoxun and Wang, Hua and Li, Jiuyong (2009) Injecting purpose and trust into data anonymisation. In: 18th ACM International Conference on Information and Knowledge Management (CIKM 2009) , 2-6 Nov 2009, Hong Kong, China.


Most existing works of data anonymisation target at the optimization of the anonymisation metrics to balance the data utility and privacy, whereas they ignore the effects of a requester's trust level and application purposes during the data anonymisation. Our aim of this paper is to propose a much finer level anonymisation scheme with regard to the data requester's trust value and specific application purpose. We prioritize the attributes for anonymisation based on how important and critical they are related to the specified application purposes and propose a trust evaluation strategy to quantify the data requester's reliability, and further build the projection between the trust value and the degree of data anonymiztion, which intends to determine to what extent the data should be anonymizd. The decomposition algorithm is developed to find the desired anonymous solution, which guarantees the uniqueness and correctness

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: No
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 01 Jun 2010 11:01
Last Modified: 29 Nov 2017 02:18
Uncontrolled Keywords: anonymization; privacy; trust; algorithms; security
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1145/1645953.1646166

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