Privacy Inference Disclosure Control with Access-Unrestricted Data Anonymity

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Author(s): Zude Li (The University of Western Ontario, Canada)
Copyright: 2011
Pages: 23
Source title: Pervasive Information Security and Privacy Developments: Trends and Advancements
Source Author(s)/Editor(s): Hamid Nemati (The University of North Carolina at Greensboro, USA)
DOI: 10.4018/978-1-61692-000-5.ch010

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

This chapter introduces a formal study on access-unrestricted data anonymity. It includes four aspects: (1) it analyzes the impacts of anonymity on data usability; (2) it quantitatively measures privacy disclosure risks in practical environment; (3) it discusses the potential factors leading to privacy disclosure; and (4) it proposes the improved anonymity solutions within typical k-anonymity models, which can effectively prevent privacy disclosure that is related with the published data properties, anonymity principles, and anonymization rules. The experiments have found these potential privacy inference violations and shown the enhanced privacy-preserving effect of the new anti-inference policies to access-unrestricted data publication.

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Privacy Inference Disclosure Control with Access-Unrestricted Data Anonymity

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