NEXT-GENERATION PRIVACY LAWS FOR BIG DATA: REGULATORY APPROACHES FOR THE 21ST CENTURY

• Dr. Imran Shahzad

  Director, Institute of Data Protection and Privacy, Lahore Institute of Technology Pakistan.

In the digital age, the rapid expansion of big data technologies has raised significant concerns about privacy and data protection. This article explores the evolving landscape of privacy laws, specifically focusing on the need for next-generation regulatory frameworks to address the unique challenges posed by big data. It investigates the interplay between data privacy, technological advancements, and the increasing volume of data collected across sectors like healthcare, finance, and e-commerce. Furthermore, it examines global efforts to develop privacy laws and offers recommendations for new, adaptive policies to safeguard individual privacy while fostering innovation. The article concludes by assessing the importance of international cooperation in creating effective, cross-border data privacy regulations.

Narayanan, A., & Shmatikov, V. (2008). "How to Break Anonymity of the Netflix Prize Dataset." IEEE Symposium on Security and Privacy.

Zyskind, G., & Nathan, O. (2015). "Decentralizing Privacy: Using Blockchain to Protect Personal Data." IEEE Security and Privacy Workshops.

Cavoukian, A. (2009). "Privacy by Design: The 7 Foundational Principles." Information and Privacy Commissioner of Ontario.

Khatri, V., & Brown, C. V. (2010). "Designing Data Governance." Communications of the ACM.

Voigt, P., & Von dem Bussche, A. (2017). "The EU General Data Protection Regulation (GDPR): A Practical Guide." Springer.

Greenleaf, G. (2014). "Global Data Privacy Laws: A Comparative Analysis." Journal of Privacy and Data Protection.

Taddeo, M., & Floridi, L. (2018). "The Ethics of Big Data: Current and Future Perspectives." Springer Handbook of Ethics and Information Technology.

Acquisti, A., et al. (2016). "The Economics of Privacy." Annual Review of Economics.

Dwork, C. (2006). "Differential Privacy." International Colloquium on Automata, Languages, and Programming.

Christidis, K., & Devetsikiotis, M. (2016). "Blockchains and Smart Contracts for the Internet of Things." IEEE Access.

Dib, R., et al. (2017). "Data Breaches and Their Impact on Privacy: A Review of Emerging Risks." IEEE Transactions on Privacy and Security.

Jagadish, H. V. (2015). "Big Data Privacy Issues and Solutions." International Journal of Information Management.

Shokri, R., et al. (2017). "Privacy-preserving Machine Learning: Threats and Solutions." IEEE Transactions on Knowledge and Data Engineering.

Fernandes, E., et al. (2017). "Security and Privacy in Big Data Systems: A Survey." IEEE Access.

Rahm, E., & Do, H. H. (2000). "Data Cleaning: Problems and Solutions." IEEE Transactions on Knowledge and Data Engineering.

Cumbley, R., & Church, P. (2013). "Privacy Law Reform and Its Impact on Big Data." Journal of Information Policy.

Taddeo, M., & Floridi, L. (2018). "The Ethics of Big Data." Springer Handbook of Ethics and Information Technology.

Zwitter, A. (2014). "Big Data and Privacy Protection." International Journal of Data Privacy.

Otto, B. (2011). "The Evolution of Data Governance Models." Data Management Review.

Townsend, A. (2013). "Smart Cities and Privacy Challenges." Urban Technology Journal.

Ahmad, N. R. (2024). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. https://doi.org/10.52152/wja5db40

• PDF
• Video Abstract

Copyright (c) 2024 Dr. Imran Shahzad

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in the Journal of Big Data Privacy Management are distributed under the terms of an open-access license, permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Authors retain copyright of their work and grant the journal the right of first publication. The journal promotes transparency, accessibility, and global dissemination of research findings.