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Homomorphic Encryption and Applications / by Xun Yi, Russell Paulet, Elisa Bertino.
- Format:
- Book
- Author/Creator:
- Yi, Xun, author.
- Paulet, Russell, author.
- Bertino, Elisa, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs in computer science 2191-5768
- SpringerBriefs in Computer Science, 2191-5768
- Language:
- English
- Subjects (All):
- Data encryption (Computer science).
- Physics.
- Computer science--Mathematics.
- Computer science.
- Data mining.
- System safety.
- Cryptology.
- Applications of Graph Theory and Complex Networks.
- Mathematical Applications in Computer Science.
- Data Mining and Knowledge Discovery.
- Security Science and Technology.
- Local Subjects:
- Cryptology.
- Applications of Graph Theory and Complex Networks.
- Mathematical Applications in Computer Science.
- Data Mining and Knowledge Discovery.
- Security Science and Technology.
- Physical Description:
- 1 online resource (XII, 126 pages) : 23 illustrations, 14 illustrations in color.
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- This book introduces the fundamental concepts of homomorphic encryption. From these foundations, applications are developed in the fields of private information retrieval, private searching on streaming data, privacy-preserving data mining, electronic voting and cloud computing. The content is presented in an instructional and practical style, with concrete examples to enhance the reader's understanding. This volume achieves a balance between the theoretical and the practical components of modern information security. Readers will learn key principles of homomorphic encryption as well as their application in solving real world problems.
- Contents:
- Introduction
- Homomorphic Encryption
- Fully Homomorphic Encryption
- Remote End-to-End Voting Scheme
- Nearest Neighbor Queries with Location Privacy
- Private Searching on Streaming Data.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-12229-8
- 9783319122298
- Access Restriction:
- Restricted for use by site license.
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