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Information Journal Paper

Title

Privacy in Database Publishing in the Presence of Adversary’ s Background Knowledge

Pages

  211-242

Abstract

 Recent researches show that Data is one of the most valuable and important assets of organizations and businesses. Privacy in the dissemination of data is becoming increasingly challenging. Anonymity as one of the privacy strategies on one side, conceals the relationship between individuals and records in a metadata table and on the other side, preserves the usefulness of the data for subsequent analysis. Preventing information disclosure becomes difficult when the adversary possesses Background Knowledge. We propose an anonymization framework to protect against Background Knowledge attack, identity disclosure, and feature disclosure. The anonymization algorithm creates equivalence classes of records whose probability distributions extracted by Background Knowledge are similar. Our proposed algorithm satisfies k-anonymity and its extension too. The proposed anonymity algorithm tries to satisfy the privacy model while preserving the usefulness of the anonymous data. We verify the theoretical study by experimentation on two datasets. Experimental results show that our proposed algorithm outperforms the state of the art anonymization approaches in terms of loss of information.

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    APA: Copy

    AMIRI, FATEMEH. (2020). Privacy in Database Publishing in the Presence of Adversary’ s Background Knowledge. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 36(1 (103) ), 211-242. SID. https://sid.ir/paper/390253/en

    Vancouver: Copy

    AMIRI FATEMEH. Privacy in Database Publishing in the Presence of Adversary’ s Background Knowledge. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2020;36(1 (103) ):211-242. Available from: https://sid.ir/paper/390253/en

    IEEE: Copy

    FATEMEH AMIRI, “Privacy in Database Publishing in the Presence of Adversary’ s Background Knowledge,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 36, no. 1 (103) , pp. 211–242, 2020, [Online]. Available: https://sid.ir/paper/390253/en

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