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Partially Homomorphic Encryption

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  • © 2021

Overview

  • Applies a unified mathematical notation
  • Algorithms can be applied to private computation problems in healthcare, finance and national security
  • Researchers have addressed issues related to these algorithms' formulation, arithmetic, efficiency and security

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Table of contents (12 chapters)

Keywords

About this book

This monograph describes and implements partially homomorphic encryption functions using a unified notation. After introducing the appropriate mathematical background, the authors offer a systematic examination of the following known algorithms: Rivest-Shamir-Adleman; Goldwasser-Micali; ElGamal; Benaloh; Naccache-Stern; Okamoto-Uchiyama; Paillier; Damgaard-Jurik; Boneh-Goh-Nissim; and Sander-Young-Yung.

Over recent years partially and fully homomorphic encryption algorithms have been proposed and researchers have addressed issues related to their formulation, arithmetic, efficiency and security. Formidable efficiency barriers remain, but we now have a variety of algorithms that can be applied to various private computation problems in healthcare, finance and national security, and studying these functions may help us to understand the difficulties ahead.


The book is valuable for researchers and graduate students in Computer Science, Engineering, and Mathematics who are engaged with Cryptology.


Reviews

“This book shows that it is always enjoyable to learn interesting algorithms and their underlying beautiful mathematics.” (Ioan Tomescu, zbMATH 0741.4774, 2021)

Authors and Affiliations

  • Dept. of Computer Science, University of California, Santa Barbara, USA

    Çetin Kaya Koç

  • Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

    Funda Özdemir

  • Faculty of Engineering and Architecture, Kâtip Çelebi University, İzmir, Turkey

    Zeynep Ödemiş Özger

Bibliographic Information

  • Book Title: Partially Homomorphic Encryption

  • Authors: Çetin Kaya Koç, Funda Özdemir, Zeynep Ödemiş Özger

  • DOI: https://doi.org/10.1007/978-3-030-87629-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-87628-9Published: 30 September 2021

  • Softcover ISBN: 978-3-030-87631-9Published: 01 October 2022

  • eBook ISBN: 978-3-030-87629-6Published: 29 September 2021

  • Edition Number: 1

  • Number of Pages: X, 146

  • Topics: Cryptology, Systems and Data Security, Number Theory

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