Cybersecurity Enabled Improved BigData Privacy Management Measures to Preserve Information With Privacy Concerns

In today's data-driven landscape, preserving the privacy and security of sensitive information within Big Data environments, particularly in sectors like healthcare, is of paramount importance. This paper introduces a comprehensive framework for Cybersecurity Enabled Improved Big Data Privacy Management Measures (IBPMM) tailored to address the challenges of safeguarding privacy while harnessing the potential of vast datasets. The framework integrates advanced cybersecurity measures with privacy management strategies, incorporating key components such as data encryption, access controls, anonymization techniques, threat detection, and incident response protocols. Regulatory compliance requirements, including GDPR and HIPAA, are carefully considered throughout the framework's development. Additionally, methodologies for data classification, risk assessment, and continuous monitoring ensure that privacy risks are systematically identified and mitigated. Privacy-preserving technologies such as differential privacy and homomorphic encryption enable secure data analysis while protecting individual privacy. Employee training and awareness initiatives foster a culture of privacy and security within organizations. The framework also includes robust incident response procedures to address security breaches promptly. By implementing the IBPMM framework, organizations can effectively balance the benefits of Big Data analytics with the imperative to preserve information with privacy concerns.