Differential Privacy for Genomic Data Sharing – Complete Phd and Masters Thesis

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Introduction:

With the advancements in genomic research, there is a growing need for sharing genomic data among researchers and institutions. However, ensuring the privacy and confidentiality of this sensitive data poses a significant challenge. Differential privacy has emerged as a promising approach to protect the privacy of individuals while allowing for the sharing of genomic data. This thesis aims to explore the application of differential privacy in genomic data sharing and evaluate its effectiveness in preserving privacy while retaining the utility of the data.

Table of Contents:

Chapter 1: Introduction
1.1 Background
1.2 Problem Statement
1.3 Objectives of Study
1.4 Limitations of Study
1.5 Scope of Study

Chapter 2: Literature Review
2.1 Overview of Genomic Data Sharing
2.2 Privacy Concerns in Genomic Data Sharing
2.3 Introduction to Differential Privacy
2.4 Applications of Differential Privacy in Genomic Data Sharing
2.5 Current Challenges and Future Directions

Chapter 3: Research Methodology
3.1 Data Collection
3.2 Implementation of Differential Privacy Mechanisms
3.3 Evaluation Metrics
3.4 Experimental Design

Chapter 4: Discussion of Findings
4.1 Analysis of Results
4.2 Comparison of Differential Privacy Mechanisms
4.3 Privacy-Utility Tradeoff
4.4 Implications for Genomic Data Sharing

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions of the Study
5.3 Recommendations for Future Research
5.4 Conclusion

Thesis Overview:

Genomic data contains valuable insights that can drive advancements in personalized medicine and genetic research. However, sharing this data comes with significant privacy risks that need to be addressed. This thesis focuses on the application of differential privacy in genomic data sharing, aiming to balance the need for data utility with the protection of individual privacy. Through a comprehensive literature review, research methodology, and analysis of findings, this thesis explores the effectiveness of differential privacy mechanisms in preserving privacy while maintaining data usability. The conclusions drawn from this research will contribute to the ongoing discussion on privacy-preserving techniques in genomic data sharing and provide recommendations for future research in this area.

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