Cryptography-Based Privacy-Preserving Data Analysis and Empowering Data Privacy through Secure Multi-Party Computation: Challenges and Solutions

The conflict between the necessity of data analysis and the preservation of personal privacy is greater than ever in today's data-driven society. This conference paper offers a comprehensive examination of privacy-preserving data analysis, illuminating the methods, difficulties, and solutions related to this crucial nexus. The article begins with a "Introduction," which highlights the rising worries about data privacy and breaches and establishes the value of data analysis in numerous sectors, including healthcare, finance, and social sciences. It emphasises how important privacy protection is, particularly in situations involving collaborative data analysis when several parties contribute data without jeopardising individual privacy. The study concludes with a discussion of "Practical Challenges in Secure MPC Implementation," which emphasises the practicalities of using privacy-preserving data analysis methods in everyday situations. It emphasises how crucial safe setup, knowledge of cryptography, and data pretreatment are. In summary, this conference paper provides readers with a clearer grasp of the difficulties and approaches involved in striking a balance between the demands of data analysis and data privacy by providing a thorough review of privacy-preserving data analysis. It is meant to be an important tool for academics, professionals, and organisations that want to use data to its full potential while protecting people's right to privacy.

I. Introduction

In a time when data is frequently heralded as the new oil, privacy protection is becoming a more important issue. Sensitive data is persistently becoming more and more prevalent in our digital environment, which brings both benefits and concerns. One the one hand, this data may be used to gain insightful knowledge, enhance science, and develop technology. However, it also highlights the urgent necessity to protect personal data and privacy of individuals. The topic of secure multi-party computing (MPC) protocols was born out of the juxtaposition of data usefulness and privacy protection, and it is essential to the privacy-preserving data analysis that it enables.