Crowd-Sourced Data Publishing Using Untrusted Server

Authors : Laya Chacko, Bibin Varghese, Smita C Thomas

Volume/Issue : Volume 5 - 2020, Issue 3 - March

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This paper outlines statistical publishing of real time data with strong protection. A person has sensitive, non-sensitive data which needs protection when publishing it to public. For example health data, it includes disease nature, health condition, medicine prescription, patient name and details these are sensitive data which may be leaked when publishing. In this, certain techniques are applied when transmitting to public here introduces distributors and agents. Propose a privacy preserving framework called privacy preserving distributed agent P2DA. Various techniques are included for prevent information loss they are levelbased, multi-set generalization, K-anonymity.

Keywords : Differential Privacy, Level-Based, Multi-Set Generalization, K-Anonymity, Data Publishing.


Paper Submission Last Date
30 - April - 2024

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