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Cyber Security, Cryptology, and Machine Learning

7th International Symposium, CSCML 2023, Be'er Sheva, Israel, June 29–30, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13914)

Included in the following conference series:

Conference proceedings info: CSCML 2023.

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About this book

This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be'er Sheva, Israel, in June 2023.

The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.


Keywords

Table of contents (36 papers)

Other volumes

  1. Cyber Security, Cryptology, and Machine Learning

Editors and Affiliations

  • Ben-Gurion University of the Negev, Be’er Sheva, Israel

    Shlomi Dolev, Ehud Gudes

  • Zama, Meythet, France

    Pascal Paillier

Bibliographic Information

  • Book Title: Cyber Security, Cryptology, and Machine Learning

  • Book Subtitle: 7th International Symposium, CSCML 2023, Be'er Sheva, Israel, June 29–30, 2023, Proceedings

  • Editors: Shlomi Dolev, Ehud Gudes, Pascal Paillier

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-34671-2

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-34670-5Published: 01 June 2023

  • eBook ISBN: 978-3-031-34671-2Published: 20 June 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 524

  • Number of Illustrations: 32 b/w illustrations, 100 illustrations in colour

  • Topics: Systems and Data Security, Computer Applications, Computer Communication Networks, Machine Learning, Cryptology

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