Design and implementation of a privacy-preserving data anonymization tool
Table Of Contents
<p>1. Introduction<br> 1.1 Background and Motivation<br> 1.2 Objectives and Scope<br> 1.3 Privacy-Preserving Data Anonymization Challenges<br>2. Literature Review<br> 2.1 Privacy-Preserving Data Anonymization Techniques<br> 2.2 Legal and Ethical Considerations<br> 2.3 Existing Data Anonymization Tools<br>3. Anonymization Tool Design<br> 3.1 Anonymization Algorithms and Methods<br> 3.2 User Interface and Workflow Design<br> 3.3 Privacy Risk Assessment and Utility Preservation<br>4. Tool Implementation<br> 4.1 Anonymization Engine Development<br> 4.2 User Authentication and Access Control<br> 4.3 Integration with Data Management Systems<br>5. Evaluation and Testing<br> 5.1 Anonymization Effectiveness and Utility Preservation<br> 5.2 Usability and User Satisfaction<br></p>
Project Abstract
<p> This project focuses on the design and implementation of a privacy-preserving data anonymization tool that enables organizations to anonymize sensitive data while preserving its utility for analysis and research. The tool will employ advanced anonymization techniques, such as k-anonymity, l-diversity, and t-closeness, to protect individual privacy in datasets. The project aims to provide a user-friendly and efficient solution for data anonymization in compliance with privacy regulations and ethical guidelines. <br></p>Project Overview
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