Privacy-Preserving for Multi-Party Data Analysis using Multi Key Encryption

  • Divya Dangi, Dr. G. Santhi, Dr. Varsha Namdeo

Abstract

We propose a new multiparty query framework in this paper to address multiparty data analysis data privacy issues.Therefore, for those private and sensitive data, it will inevitably face the risk of data leakage. It tackles the problem of extracting disclosure of sensitive information for valuable information.  The detailed description of the proposed framework and the proper example of the underlying protocols confirm that all participating organizations can recognize their multiparty skyline objects without disclosing data objects to others. The data protection and security analyses show that the framework satisfies the privacy requirements. A comprehensive performance evaluation also demonstrates the effectiveness of the proposed framework for real-world deployment. By avoiding'safe integer comparison' and instead employing 'domain comparison' encryption within our SDC protocol, our proposed framework is significantly more effective and secure.

Published
2021-11-30
How to Cite
Divya Dangi, Dr. G. Santhi, Dr. Varsha Namdeo. (2021). Privacy-Preserving for Multi-Party Data Analysis using Multi Key Encryption. Design Engineering, 795 - 804. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/7016
Section
Articles