Fully homomorphic encryption for cloud security – Complete Phd and Masters Thesis

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Introduction

Fully homomorphic encryption (FHE) is a revolutionary advancement in the field of cryptography that allows for computations to be performed on encrypted data without the need to decrypt it. This has significant implications for cloud security, as it enables data to be processed in the cloud while maintaining privacy and confidentiality. As organizations increasingly rely on cloud services to store and process sensitive information, the need for robust security measures has never been greater.

Background of study

The concept of homomorphic encryption was first introduced by Rivest, Adleman, and Dertouzos in 1978. However, it was not until 2009 when Craig Gentry presented the first fully homomorphic encryption scheme. Since then, researchers have been exploring various applications of FHE, including secure cloud computing.

Problem Statement

Despite the potential benefits of FHE for cloud security, there are still several challenges that need to be addressed. These include the computational overhead associated with FHE, the difficulty of implementing and integrating FHE schemes into existing systems, and the potential vulnerabilities that may arise from using FHE in practice.

Objective of study

The primary objective of this thesis is to investigate the feasibility and practicality of using FHE for enhancing cloud security. This includes exploring the potential advantages and drawbacks of FHE, developing a system design and methodology for implementing FHE in a cloud environment, and evaluating the performance and security implications of using FHE in practice.

Limitation of study

Due to the complexity and novelty of FHE, this study may be limited in its scope and generalizability. Additionally, the practical implementation of FHE in a real-world cloud environment may pose challenges that cannot be fully anticipated or addressed in this thesis.

Scope of study

This thesis will focus on exploring the use of FHE for securing data in the cloud, with a particular emphasis on the performance and security implications of using FHE in practice. The study will involve developing a system design and methodology for implementing FHE in a cloud environment, as well as evaluating the feasibility and practicality of using FHE for enhancing cloud security.

Significance of study

The findings of this study are expected to contribute to the existing body of knowledge on FHE and its applications in cloud security. By investigating the potential advantages and drawbacks of using FHE in a real-world cloud environment, this research aims to provide insights that can inform future developments and implementations of FHE for enhancing cloud security.

Structure of the Thesis

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 Overview of Homomorphic Encryption
2.2 Applications of Fully Homomorphic Encryption
2.3 Challenges of Fully Homomorphic Encryption
2.4 Cloud Security
2.5 Encryption Techniques in Cloud Computing
2.6 Previous Studies on FHE for Cloud Security
2.7 Benefits of Using FHE for Cloud Security
2.8 Drawbacks of Using FHE for Cloud Security
2.9 Performance Evaluation of FHE in Cloud Environment
2.10 Security Implications of Using FHE in Cloud Computing

Chapter 3: System Design and Methodology
3.1 System Architecture
3.2 Data Encryption and Decryption Process
3.3 Key Management
3.4 Data Storage and Retrieval
3.5 Data Processing
3.6 Performance Metrics
3.7 Security Measures
3.8 Integration with Existing Cloud Systems

Chapter 4: System Implementation
4.1 Development Environment
4.2 Implementation of FHE Scheme
4.3 Integration with Cloud Services
4.4 Testing and Evaluation
4.5 Performance Testing
4.6 Security Testing
4.7 Benchmarking
4.8 Optimization Techniques

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

Thesis Overview: Fully Homomorphic Encryption for Cloud Security

Fully homomorphic encryption (FHE) is a cutting-edge cryptographic technology that has the potential to revolutionize cloud security by enabling computations to be performed on encrypted data without the need for decryption. This thesis aims to investigate the feasibility and practicality of using FHE for enhancing cloud security, with a focus on the performance and security implications of implementing FHE in a real-world cloud environment.

Chapter 1 provides an introduction to the topic, outlining the background of the study, problem statement, objectives, scope, significance, and structure of the thesis. Chapter 2 presents a comprehensive literature review on homomorphic encryption, applications of FHE, challenges, cloud security, encryption techniques in cloud computing, previous studies on FHE for cloud security, benefits, drawbacks, performance evaluation, and security implications of using FHE in cloud computing.

Chapter 3 delves into the system design and methodology, including the system architecture, data encryption and decryption process, key management, data storage and retrieval, data processing, performance metrics, security measures, and integration with existing cloud systems. Chapter 4 focuses on the system implementation, covering the development environment, FHE scheme implementation, integration with cloud services, testing and evaluation, performance testing, security testing, benchmarking, and optimization techniques.

Chapter 5 concludes the thesis by summarizing the findings, discussing the implications of the study, providing recommendations for future research, and presenting a conclusion. Overall, this thesis aims to contribute to the understanding of FHE and its potential applications in cloud security, providing insights that can inform future developments and implementations in the field.

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