Data Privacy and Encryption Techniques
Table Of Contents
<p>1. Introduction<br> 1.1 Importance of Data Privacy and Security<br> 1.2 Objectives of the Project<br>2. Fundamentals of Cryptography<br> 2.1 Symmetric and Asymmetric Encryption<br> 2.2 Hash Functions and Digital Signatures<br> 2.3 Key Management and Distribution<br>3. Encryption Techniques for Data Protection<br> 3.1 Block Ciphers and Stream Ciphers<br> 3.2 Public Key Infrastructure (PKI)<br> 3.3 Homomorphic Encryption<br>4. Data Anonymization and Pseudonymization<br> 4.1 Privacy-Preserving Data Mining<br> 4.2 Differential Privacy Techniques<br> 4.3 GDPR and Regulatory Compliance<br>5. Balancing Security, Usability, and Performance<br> 5.1 User-Centric Encryption Solutions<br> 5.2 Secure Multi-Party Computation<br> 5.3 Performance Optimization Strategies<br></p>
Thesis Abstract
<p> 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. <br></p>Thesis Overview
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