03562nam 22006375 450 991101568730332120250716130245.03-031-95140-910.1007/978-3-031-95140-4(MiAaPQ)EBC32212888(Au-PeEL)EBL32212888(CKB)39659073100041(DE-He213)978-3-031-95140-4(EXLCZ)993965907310004120250716d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPrivacy Enhancing Techniques Practices and Applications /by Xun Yi, Xuechao Yang, Xiaoning Liu, Andrei Kelarev, Kwok-Yan Lam, Mengmeng Yang, Xiangning Wang, Elisa Bertino1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (367 pages)3-031-95139-5 Chapter 1: Introduction -- Chapter 2: Homomorphic Encryption -- Chapter 3: Multiparty Computation -- Chapter 4: Differential Privacy -- Chapter 5: Privacy-Preserving Data Mining -- Chapter 6: Privacy-Preserving Machine Learning -- Chapter 7: Privacy-Preserving Social Networks -- Chapter 8: Privacy-Preserving Location-Based Services -- Chapter 9: Privacy and Digital Trust -- Chapter 10: Conclusion.This book provides a comprehensive exploration of advanced privacy-preserving methods, ensuring secure data processing across various domains. This book also delves into key technologies such as homomorphic encryption, secure multiparty computation, and differential privacy, discussing their theoretical foundations, implementation challenges, and real-world applications in cloud computing, blockchain, artificial intelligence, and healthcare. With the rapid growth of digital technologies, data privacy has become a critical concern for individuals, businesses, and governments. The chapters cover fundamental cryptographic principles and extend into applications in privacy-preserving data mining, secure machine learning, and privacy-aware social networks. By combining state-of-the-art techniques with practical case studies, this book serves as a valuable resource for those navigating the evolving landscape of data privacy and security. Designed to bridge theory and practice, this book is tailored for researchers and graduate students focused on this field. Industry professionals seeking an in-depth understanding of privacy-enhancing technologies will also want to purchase this book.Data protectionLaw and legislationData miningMachine learningPrivacyData Mining and Knowledge DiscoveryMachine LearningData protectionLaw and legislation.Data mining.Machine learning.Privacy.Data Mining and Knowledge Discovery.Machine Learning.005.8323.448Yi Xun968566Yang Xuechao1833798Liu Xiaoning1786166Kelarev Andrei150423Lam Kwok-Yan1771294Yang Mengmeng1833799Wang Xiangning1833800Bertino Elisa754415MiAaPQMiAaPQMiAaPQBOOK9911015687303321Privacy Enhancing Techniques4408743UNINA