PRIVACY THREATS IN BIG DATA: IDENTIFYING AND MITIGATING VULNERABILITIES IN DATA-DRIVEN SYSTEMS

• Dr. Ayesha Siddiqui

  Department of Computer Science, COMSATS University Islamabad, Pakistan.

The explosive growth of big data ecosystems has revolutionized the way organizations collect, process, and utilize information. However, it has also escalated privacy vulnerabilities in unprecedented ways. This study examines the major privacy threats inherent in big data environments and explores mitigation strategies tailored for data-driven systems. Key vulnerabilities such as re-identification risks, unauthorized access, third-party data misuse, and inference attacks are analyzed. The paper further presents frameworks and technologies, including differential privacy and blockchain, to safeguard sensitive information. Through a critical review of existing literature and graphical insights, this article aims to contribute to a more resilient big data security landscape.

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Copyright (c) 2024 Dr. Ayesha Siddiqui

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