ADVANCES IN SECURE DATA SHARING FOR BIG DATA PRIVACY PRESERVATION

• Dr. Muhammad Usama

  National University of Sciences and Technology (NUST), Islamabad, Pakistan.

The rapid growth of big data has presented both opportunities and challenges in data privacy preservation. As organizations and governments increasingly rely on big data for decision-making and innovation, secure data sharing has become essential for ensuring privacy while enabling valuable insights. This article reviews the latest advances in secure data sharing mechanisms, focusing on their applications in big data environments. Key privacy-preserving techniques such as encryption, differential privacy, and federated learning are discussed in the context of secure data sharing. The paper also explores regulatory frameworks and emerging technologies aimed at mitigating privacy risks, offering a comprehensive perspective on the intersection of data privacy and big data. The paper concludes by discussing future research directions and policy implications to enhance the security of data sharing practices in the big data era.

Sohail, N., Haque, A., & Suki, A. B. A. (2022). The influence of knowledge, innovation compatibility and social influence on adoption of Halal cosmetics: An empirical evidence from Pakistan. *International Journal of Innovative Research and Publications, 2*(5), 1–17. https://doi.org/10.51430/IJIRP.2022.25.001

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