Privacy-Preserving Data Storage and Processing in the Cloud

Abstract

In the ever-expanding landscape of cloud computing, concerns over the privacy of sensitive data have become paramount. This chapter delves into the intricate realm of privacy-preserving data storage and processing in the cloud. It addresses the challenges posed by data ownership, control, and the ever-looming threat of data breaches in cloud environments. Focusing on innovative techniques, the chapter explores encryption mechanisms, secure multi-party computation, and trusted execution environments for privacy-preserving data storage. Additionally, it delves into cutting-edge methods such as privacy-preserving machine learning, secure query processing, and tokenization for safeguarding privacy during data processing in the cloud. Real-world case studies exemplify successful implementations, providing insights into practical applications. The chapter concludes by envisioning future trends, including the integration of blockchain and zero-knowledge proofs, and highlights the challenges and opportunities that lie ahead in the pursuit of privacy preservation in cloud computing.