Title: Privacy preservation of clinical dataset using SHA and key base hashing

Authors: Balaji K. Bodkhe; Sanjay P. Sood

Addresses: IKG Punjab Technical University, Jalandhar, Punjab, India ' CDAC, Mohali, India

Abstract: Privacy preserving publishing of micro data is one of the most essential concerns in collective data publishing. In this work, we design a problem for data publishing using a new technique called SKHF. Numerous researches have been done in the healthcare domain with privacy preserving, but still nobody had eliminated the data leakage and data loss issues. In the proposed system, a hospital collects various patients' data and publishes the records to an external entity. The proposed system is designed to preserve or maintain the privacy of an individual data in distributed database system by using the slicing algorithm. Basically, it is used for publishing information of specific organisations like healthcare patient information as well as disease information etc. In this paper we studied different techniques for privacy preservation and new techniques for data privacy called secure key base hash function (SKHF) which provides both horizontal and vertical security.

Keywords: SHA-256; L-diversity; randomisation; k-anonymity.

DOI: 10.1504/IJCAET.2021.117140

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.2/3, pp.306 - 316

Received: 28 Aug 2018
Accepted: 08 Jan 2019
Published online: 19 Aug 2021 *

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