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Introduction

Homomorphic encryption is a powerful cryptographic technique that allows computations to be performed on encrypted data without decryption. This enables secure processing of sensitive information, such as database queries, while maintaining the privacy and confidentiality of the data. In today’s data-driven world, the protection of personal and sensitive information is of utmost importance, making homomorphic encryption a crucial tool for secure data handling.

Background of Study

The concept of homomorphic encryption was first introduced by Rivest, Adleman, and Dertouzos in 1978, but it wasn’t until recent advancements in cryptography that practical implementations became feasible. With the rise of cloud computing and the increasing reliance on external service providers for data storage and processing, the need for secure computation on encrypted data has become more pressing.

Problem Statement

Traditional encryption methods require data to be decrypted before any operations can be performed, leaving it vulnerable to attacks during processing. This poses a significant security risk, especially when dealing with sensitive data in databases. Homomorphic encryption addresses this issue by allowing computations to be carried out on encrypted data without compromising its security.

Objective of Study

The main objective of this study is to explore the use of homomorphic encryption for secure database queries. Specifically, we aim to investigate how homomorphic encryption can be applied to protect sensitive information in databases while still allowing for efficient and secure query processing.

Limitation of Study

One limitation of this study is the complexity of implementing homomorphic encryption in real-world database systems. Additionally, the performance overhead associated with homomorphic encryption may impact the efficiency of query processing.

Scope of Study

This study will focus on the theoretical aspects of homomorphic encryption and its practical applications in database security. We will explore different techniques and algorithms for homomorphic encryption and evaluate their effectiveness in protecting sensitive data during query processing.

Significance of Study

The findings of this study will contribute to the growing body of research on secure data handling techniques, particularly in the context of database queries. By demonstrating the potential of homomorphic encryption for protecting sensitive information, this study will help advance the field of secure data processing and storage.

Structure of the Thesis

This thesis is divided into five chapters. Chapter one provides an introduction to the topic, including the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter two presents a literature review on homomorphic encryption and its applications in database security. Chapter three outlines the system design and methodology for implementing homomorphic encryption in secure database queries. Chapter four details the system implementation process, including algorithms and techniques used. Finally, chapter five offers a conclusion and summary of the project thesis.

Definition of Terms

– Homomorphic encryption: a cryptographic technique that allows computations to be performed on encrypted data without decryption
– Database queries: requests for information from a database using a query language such as SQL
– Encryption: the process of converting plaintext data into ciphertext to protect its confidentiality
– Decryption: the process of converting ciphertext data back into plaintext to access the original information
– Cloud computing: the delivery of computing services over the internet, allowing for scalable and flexible data storage and processing

Chapter Two: Literature Review

1. Introduction to homomorphic encryption
2. Historical development of homomorphic encryption
3. Types of homomorphic encryption schemes
4. Applications of homomorphic encryption in database security
5. Advantages and limitations of homomorphic encryption
6. Current research trends in homomorphic encryption
7. Case studies of homomorphic encryption in practical settings
8. Comparison of homomorphic encryption with other secure data handling techniques
9. Challenges and future directions in homomorphic encryption research
10. Summary of key findings in the literature review

Chapter Three: System Design and Methodology

1. Overview of the secure database query system
2. Selection of homomorphic encryption scheme
3. Database schema design for encrypted data
4. Query processing algorithm using homomorphic encryption
5. Data transmission and storage considerations
6. Security measures for protecting encrypted data
7. Performance evaluation metrics for the system
8. Methodology for testing and validation of the system

Chapter Four: System Implementation

1. Development environment and tools used
2. Implementation of homomorphic encryption algorithms
3. Integration of encryption techniques with database queries
4. System architecture and components
5. Testing procedures and results
6. Performance analysis of the system
7. Optimization techniques for enhancing query processing speed
8. Comparison with traditional encryption methods

Chapter Five: Conclusion and Summary

1. Recap of the research objectives and findings
2. Contributions to the field of database security
3. Implications of the study for secure data handling practices
4. Recommendations for future research on homomorphic encryption
5. Conclusion and final thoughts on the project thesis.

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