The Privacy Paradox: The Future of Personal Data Protection in the Big Data Age

  • Swadha Dubey and Razit Sharma
  • Show Author Details
  • Swadha Dubey

    Research Scholar at ICFAI Law School, The ICFAI University Dehradun, India

  • Razit Sharma

    Assistant Professor at ICFAI Law School, The ICFAI University Dehradun, India

  • img Download Full Paper

Abstract

The rapid growth of big data technologies has revolutionized numerous industries, leading to significant advancements in healthcare, finance, and marketing. However, this data-driven transformation has raised substantial concerns regarding personal privacy and data security. Once considered private, personal data is now a valuable asset for businesses, fueling debates over how it should be collected, processed, and protected. This article explores the future of personal data protection in the context of big data, analyzing emerging trends, challenges, and technological advancements. Key areas of focus include the growing risks associated with the storage and use of vast amounts of personal data, the impact of global data protection regulations such as GDPR, and the role of innovative technologies like encryption, artificial intelligence, and privacy-enhancing technologies. Furthermore, the article examines ethical considerations surrounding data ownership, the importance of user control, and the balance between privacy and innovation. As the world becomes increasingly interconnected through the Internet of Things (IoT) and smart cities, ensuring robust data protection becomes critical to maintaining user trust and safeguarding individual rights. The paper concludes with a call for stronger regulatory frameworks, improved technological solutions, and greater digital literacy to empower individuals and organizations in protecting personal data.

Type

Article

Information

International Journal of Law Management and Humanities, Volume 7, Issue 6, Page 1647 - 1672

DOI: https://doij.org/10.10000/IJLMH.118659

Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

Copyright

Copyright © IJLMH 2021