| 期刊全称 | Algorithms for Data and Computation Privacy | | 影响因子2023 | Alex X. Liu,Rui Li | | 视频video | | | 发行地址 | One of the first books that presents designing algorithms for achieving data and computation privacy.Provides an in-depth introduction on the algorithms for data and computation privacy.Algorithms pre | | 图书封面 |  | | 影响因子 | .This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book...Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world...This book targets database engineers, cloud computing engineers and researchers working in thi | | Pindex | Book 2021 |
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发表于 2025-3-21 16:54:58
