Overview Of Data Classification And Applications In Data Security

Abstract

This paper provides a comprehensive overview of data classification frameworks, highlighting their significance in both governmental and commercial contexts. It explores the principles of data classification in the context of confidentiality, integrity, and availability (CIA), and outlines a systematic methodology for implementing and managing classification schemes. Key privacy regulations such as the GDPR, HIPAA, and CCPA are analyzed to underscore the importance of aligning classification practices with legal and compliance requirements. The study presents various models, including the U.S. National Security Classification Scheme and impact-based categorizations such as those defined by NIST. Additionally, the paper discusses emerging considerations in cloud computing environments and evaluates how cloud service providers support secure data classification and protection. Finally, it offers best practices for developing classification schemes that are context-aware, scalable, and compliant with evolving operational and regulatory needs.