Date of Award

Spring 4-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Cyber Defense (PhDCD)

First Advisor

Yong Wang

Second Advisor

Jun Liu

Third Advisor

Austin O'Brien

Fourth Advisor

Deji Ojetola

Abstract

In the era of big data, ensuring the privacy and security of sensitive information has become a paramount concern for organizations across various sectors. One of the significant threats to data privacy is the risk of de-anonymization attacks, which can compromise the anonymity of individuals within large datasets. In response to this challenge, this dissertation proposes a comprehensive framework designed to empower organizations to effectively minimize the risk of big data de-anonymization attacks. The core objective of this research is to develop an anonymization techniques assessment framework that evaluates the vulnerabilities associated with anonymization techniques commonly used by organizations. By assessing these vulnerabilities, the framework aims to provide organizations with actionable insights to enhance their data anonymization practices and protect against de-anonymization attacks.

The proposed framework leverages the expertise of subject matter experts in the field of data privacy and security. Through a rigorous evaluation process, these experts validate the effectiveness of the framework as a practical tool for organizations seeking to safeguard their data against de-anonymization attacks. The development of this framework represents a significant contribution to data privacy and security. By providing organizations with a systematic approach to assess and mitigate the risks of de-anonymization, the framework has the potential to enhance data protection measures and promote trust in the use of big data analytics.

Overall, this dissertation aims to bridge the gap between theoretical knowledge and practical application in the realm of big data de-anonymization prevention. This research strives to pave the way for a more secure and privacy-conscious data ecosystem by equipping organizations with the tools and insights needed to safeguard their data privacy.

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