Data Privacy and Encryption Techniques
Table Of Contents
1. Introduction
1.1 Importance of Data Privacy and Security
1.2 Objectives of the Project
2. Fundamentals of Cryptography
2.1 Symmetric and Asymmetric Encryption
2.2 Hash Functions and Digital Signatures
2.3 Key Management and Distribution
3. Encryption Techniques for Data Protection
3.1 Block Ciphers and Stream Ciphers
3.2 Public Key Infrastructure (PKI)
3.3 Homomorphic Encryption
4. Data Anonymization and Pseudonymization
4.1 Privacy-Preserving Data Mining
4.2 Differential Privacy Techniques
4.3 GDPR and Regulatory Compliance
5. Balancing Security, Usability, and Performance
5.1 User-Centric Encryption Solutions
5.2 Secure Multi-Party Computation
5.3 Performance Optimization Strategies
Thesis Abstract
This project focuses on the critical issue of data privacy and explores various encryption techniques to secure sensitive information. The project will involve an in-depth study of cryptographic algorithms, key management strategies, and data anonymization methods. Additionally, the project will address the challenges of balancing data security with usability and performance in real-world applications.
Thesis Overview
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