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Introduction

In today’s digital world, the financial services industry is continuously evolving to meet the demands of customers for efficient and secure transactions. With the increasing use of technology in financial services, there is a growing need for secure multi-party computation to protect sensitive financial data. Homomorphic encryption has emerged as a powerful tool to enable secure computations on encrypted data without revealing the underlying information. This thesis explores the use of homomorphic encryption for secure multi-party computation in financial services.

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 1: Introduction
– Introduction
– Background of study
– Problem Statement
– Objective of study
– Limitation of study
– Scope of study
– Significance of study
– Structure of the Thesis
– Definition of terms

Chapter 2: Literature Review
– Overview of homomorphic encryption
– Application of homomorphic encryption in financial services
– Challenges of secure multi-party computation in financial services
– Existing solutions for secure multi-party computation
– Comparison of different encryption methods
– Advantages and disadvantages of homomorphic encryption
– Case studies of homomorphic encryption in financial services
– Future trends in secure multi-party computation
– Regulatory considerations in financial services
– Summary of literature review

Chapter 3: System Design and Methodology
– System architecture for secure multi-party computation
– Selection of homomorphic encryption scheme
– Data preprocessing and encryption process
– Secure communication protocols
– Integration of secure computation algorithms
– Testing and evaluation methodology
– Performance metrics
– Data privacy and security measures

Chapter 4: System Implementation
– Implementation of homomorphic encryption for secure multi-party computation
– Integration with financial services platforms
– Testing and validation of the system
– Performance optimization techniques
– Scalability and efficiency considerations
– Deployment strategy
– Maintenance and support plan

Chapter 5: Conclusion and Summary
– Recap of research objectives
– Findings and contributions of the study
– Implications for the financial services industry
– Recommendations for future research
– Conclusion

Thesis Overview on Homomorphic Encryption for Secure Multi-Party Computation in Financial Services

Homomorphic encryption has gained significant interest in recent years due to its ability to perform computations on encrypted data without decrypting it. In the financial services industry, where data privacy and security are paramount, homomorphic encryption offers a promising solution for conducting secure multi-party computations. This thesis aims to explore the use of homomorphic encryption for secure multi-party computation in financial services and its implications for data privacy and security.

Chapter 1 provides an introduction to the topic, outlining the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 presents a comprehensive literature review on homomorphic encryption, its application in financial services, challenges, existing solutions, advantages, and disadvantages, case studies, and regulatory considerations.

Chapter 3 delves into the system design and methodology, discussing the system architecture, selection of encryption scheme, data preprocessing, communication protocols, integration of computation algorithms, testing, performance metrics, and security measures. Chapter 4 focuses on the system implementation, covering the implementation of homomorphic encryption, integration with financial services platforms, testing, optimization techniques, scalability, deployment, maintenance, and support.

In Chapter 5, the thesis concludes with a summary of research objectives, findings, contributions, implications for the financial services industry, recommendations for future research, and a conclusion. This thesis aims to provide valuable insights into the application of homomorphic encryption for secure multi-party computation in financial services, contributing to the advancement of data privacy and security in the industry.

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