Big Data and Privacy: A Review on the Effectiveness of Current Data Privacy Protection Strategies

Qiyuan Qiang, Kogod School of Business, American University
Han Wang, School of Economics and Management, Xidian University
Chenrui Xie, North Carolina State University
Volume5 nos.1 March 2024 ISSN 2755-3272

Keywords

Data Mining, Data Anonymization, Policy Protection, Identifying Attack, Action Taking

Abstract

This article critically examines the effectiveness of data privacy protection strategies amidst the rise of big data. As large-scale data collection provides invaluable insights, it concurrently poses significant privacy concerns. Our review categorizes protective measures into three main strategies, including data mining and anonymity, education and legal protection, as well as identifying and addressing data breaches. In summary, the reviewed strategies represent significant efforts in addressing the complex interaction between big data utilization and personal privacy issues. Although progress has been made in each strategy, there are still inherent challenges that require sustained attention and innovation. The dynamic pattern of big data requires a multifaceted approach that combines technological, educational, and regulatory measures to strike a balance between obtaining data benefits and protecting privacy.