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Introduction

Secure multi-party computation (MPC) is a field of research aimed at enabling multiple parties to jointly compute a function on their private inputs while keeping those inputs confidential. With the increasing amount of sensitive data being stored in databases, secure database queries have become a critically important application of MPC. By leveraging MPC techniques, parties can query a database without revealing their inputs to each other or to the database owner, ensuring the privacy and security of the data.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Introduction to Secure Multi-Party Computation
2.2 Secure Database Queries
2.3 Privacy-Preserving Protocols
2.4 Homomorphic Encryption
2.5 Garbled Circuits
2.6 Oblivious Transfer
2.7 Query Optimization Techniques
2.8 Performance Evaluation
2.9 Security Analysis
2.10 Recent Developments in MPC for Secure Database Queries

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Experiment Design
3.5 Implementation Details
3.6 Evaluation Metrics
3.7 Test Scenarios
3.8 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Experimental Results
4.2 Performance Analysis
4.3 Security Evaluation
4.4 Comparison with Existing Solutions
4.5 Scalability Issues
4.6 Practical Considerations
4.7 Future Research Directions
4.8 Implications for Practice

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

Thesis Overview on Secure Multi-Party Computation for Secure Database Queries

Secure multi-party computation (MPC) enables parties to jointly compute a function on their private inputs while preserving the confidentiality of those inputs. In the context of database queries, MPC allows parties to query a database without revealing their inputs to each other or to the database owner, ensuring the privacy and security of the data. This thesis aims to explore the application of MPC techniques for secure database queries and evaluate their performance, security, and scalability.

The introduction chapter provides an overview of the research topic, including the background, problem statement, objectives, scope, and significance of the study. It also outlines the structure of the thesis and defines key terms used throughout the document.

The literature review chapter examines existing research on secure multi-party computation, secure database queries, privacy-preserving protocols, encryption techniques, query optimization, and performance evaluation. It also discusses recent developments in MPC for secure database queries.

The research methodology chapter details the research design, data collection methods, analysis techniques, experiment design, implementation details, evaluation metrics, test scenarios, and ethical considerations.

The discussion of findings chapter presents the experimental results, performance analysis, security evaluation, comparison with existing solutions, scalability issues, practical considerations, future research directions, and implications for practice.

The conclusion and summary chapter summarizes the findings, highlights the contributions of the study, discusses the limitations, offers recommendations for future research, and concludes the thesis. Through this comprehensive investigation, this thesis aims to contribute to the advancement of secure multi-party computation for secure database queries.

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