A General Framework Information Loss of Utility-Based Anonymization in Data Publishing

Main Article Content

Waleed M.Ead, et. al.

Abstract

To build anonymization, the data anonymizer must determine the following three issues: Firstly, which data to be preserved? Secondly, which adversary background knowledge used to disclosure the anonymized data? Thirdly, The usage of the anonymized data? We have different anonymization techniques from the previous three-question according to different adversary background knowledge and information usage (information utility). In other words, different anonymization techniques lead to different information loss. In this paper, we propose a general framework for the utility-based anonymization to minimize the information loss in data published with a trade-off grantee of achieving the required privacy level.

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How to Cite
et. al., W. M. . (2021). A General Framework Information Loss of Utility-Based Anonymization in Data Publishing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(5), 1450–1456. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/2102
Section
Research Articles