Abstract
In the age of big data, safeguarding data privacy has become increasingly complex. This paper addresses the challenges of anonymizing data, preventing data breaches, and navigating ethical concerns. It reviews key regulatory frameworks like the GDPR and CCPA, highlighting their roles in protecting privacy. Additionally, it suggests best practices for organizations, including data minimization, strong encryption, and regular privacy audits. Balancing the benefits of big data with robust privacy measures is essential for building a trustworthy digital ecosystem.
References
California Legislature. (2018). California Consumer Privacy Act (CCPA).
Dworkin, M. J. (2001). Recommendation for Block Cipher Modes of Operation. National Institute of Standards and Technology.
General Data Protection Regulation (GDPR). (2016). Regulation (EU) 2016/679.
Health Insurance Portability and Accountability Act (HIPAA). (1996). Public Law 104-191.
Katal, A., Wazid, M., & Goudar, R. H. (2013). Big Data: Issues, Challenges, Tools, and Good Practices. Proceedings of the 6th International Conference on Contemporary Computing.
PDPC Singapore. (2012). Personal Data Protection Act 2012.
Voigt, P., & Bussche, A. v. d. (2017). The EU General Data Protection Regulation (GDPR): A Practical Guide.