Algorithms for Data and Computation Privacy is popular PDF and ePub book, written by Alex X. Liu in 2020-11-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Algorithms for Data and Computation Privacy can be Read Online from any device for your convenience.
Algorithms for Data and Computation Privacy Book PDF Summary
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 this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.
Detail Book of Algorithms for Data and Computation Privacy PDF
- Author : Alex X. Liu
- Release : 28 November 2020
- Publisher : Springer Nature
- ISBN : 9783030588960
- Genre : Computers
- Total Page : 404 pages
- Language : English
- PDF File Size : 7,7 Mb
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