The advent of big data has led to an explosion in the amount of personal data being collected and stored in databases, posing significant challenges to data privacy and security. This has necessitated the development of privacy preserving mechanisms for databases, which form the focus of this book. The author, S. Balamurugan, delves into the various cryptographic techniques that can be employed to safeguard data privacy, including data encryption, anonymization, masking, perturbation, obfuscation, sanitization, and de-identification.
The book explores various privacy preserving mechanisms for databases, such as data aggregation, data inference, and differential privacy. It also covers advanced techniques like homomorphic encryption, secure multiparty computation, and secure two-party computation, which enable secure data sharing while preserving privacy.
The book emphasizes the importance of access control, authorization, and authentication in preserving data privacy, and provides insights into user privacy and user identity. It also covers data leakage and data breaches, and outlines best practices for data audit, data governance, and data regulation, including GDPR and HIPAA.
The book delves into the ethical dimensions of data privacy, including data transparency, accountability, compliance, and sharing policies. It covers data protection regulations, data privacy laws, data protection standards, and data security standards. The book also includes a section on data risk management and data protection impact assessment, along with data classification, to provide a comprehensive overview of the subject. Overall, this book is an essential resource for anyone concerned with data privacy and security in today's digital age.
