Secure data deduplication techniques – Complete Phd and Masters Thesis

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Introduction

With the exponential growth of data in today’s digital world, the need for efficient and secure storage solutions has become paramount. Data deduplication is a technique that aims to reduce storage space by eliminating redundant data. However, the process of data deduplication raises concerns about the security and privacy of the data being deduplicated. Secure data deduplication techniques have emerged as a solution to address these security concerns and ensure the confidentiality of sensitive information during the deduplication process.

This thesis aims to explore and evaluate various secure data deduplication techniques to provide insights for improved data security in storage systems. The following chapters will provide a comprehensive overview of the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Additionally, the literature review will delve into existing research on secure data deduplication techniques, while the research methodology will outline the approach taken to investigate and analyze these techniques. The discussion of findings will present a detailed analysis of the results, followed by the conclusion and summary of the project thesis.

Table of Contents

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 data deduplication
2.2 Security challenges in data deduplication
2.3 Existing secure data deduplication techniques
2.4 Encryption-based approaches
2.5 Integrity verification techniques
2.6 Homomorphic encryption schemes
2.7 Convergent encryption methods
2.8 Hybrid deduplication approaches
2.9 Performance evaluation of secure data deduplication techniques
2.10 Gaps in existing research

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Experimental setup
3.5 Evaluation metrics
3.6 Research limitations
3.7 Ethical considerations
3.8 Data security measures

Chapter 4: Discussion of Findings
4.1 Comparative analysis of secure data deduplication techniques
4.2 Performance evaluation results
4.3 Security strengths and weaknesses
4.4 Practical implications of findings
4.5 Recommendations for future research
4.6 Implications for storage system design
4.7 Challenges and opportunities
4.8 Case studies and real-world applications

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Implications for practice
5.4 Recommendations for policy and decision-making
5.5 Future research directions
5.6 Conclusion

Thesis Overview

The exponential growth of data in today’s digital world has led to an increased demand for efficient and secure storage solutions. Data deduplication is a technique that aims to reduce storage space by eliminating redundant data, but it raises concerns about the security and privacy of the data being deduplicated. Secure data deduplication techniques have emerged to address these security concerns and ensure the confidentiality of sensitive information during the deduplication process.

This thesis focuses on exploring and evaluating various secure data deduplication techniques to enhance data security in storage systems. The literature review provides an overview of data deduplication, security challenges, existing secure techniques, and performance evaluation metrics. The research methodology outlines the approach taken to investigate and analyze these techniques, including research design, data collection methods, and evaluation metrics.

The discussion of findings presents a detailed analysis of the comparative performance of secure data deduplication techniques, highlighting their security strengths and weaknesses. Practical implications, recommendations for future research, and implications for storage system design are also discussed. The conclusion summarizes the key findings, contributions to the field, implications for practice, and recommendations for policy and decision-making. Future research directions and challenges and opportunities in the field are also addressed.

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