Springer Privacy-Preserving Computing in Practice (Digital Privacy and Security)

This book systematically summarizes the knowledge in the field of privacy-preserving computing, reorganizes the knowledge in this field from the author's perspective, and forms a system. With the privacy-preserving computing framework as the core, it systematically explains the relevant key technologies and practical application cases. The main contents include the following aspects: Introduction, including background and concepts, related technologies, and the development history, technical characteristics and application scenarios of privacy-preserving computing; related basic knowledge, including the mathematical foundation of cryptography, an overview of security models, and secure multi-party computing technology; an overview of the privacy-preserving computing framework, including the existing secret sharing computing framework and the homomorphic encryption computing framework; privacy-preserving computing primitives, including the design of privacy-preserving basic operations; practical application cases of the secure multi-party computing framework and its improved framework. This book can be used as a textbook for doctoral students, master students, and senior undergraduates in cyberspace security-related majors, and can also be used as a reference book for scientific researchers engaged in cyberspace security research and engineering and technical personnel engaged in network security system development.