Big Data Privacy Issues and Challenges: A Survey

Abstract

Big data, known for its intricate and diverse nature, entails handling vast amounts of information. This poses substantial challenges in storing, analyzing, processing, and extracting meaningful insights. The surge in big data's significance has led to its extensive exploration as an academic field. However, with the increasing volume of data comes a heightened risk of privacy infringement. Consequently, numerous privacy-preserving methodologies have been developed and implemented across various stages of data handling. This paper provides a comprehensive and review of research dedicated to preserving privacy in the realm of big data. Notably, it concentrates on talking about privacy strategies designed to protect data throughout critical processes including storage, production, and processing. The major goal of this paper is to examine prior studies in big data privacy.