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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

Editors:
  1. Shlomi Dolev

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

  2. Ehud Gudes

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

  3. Pascal Paillier

    1. Zama, Meythet, France

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.


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Table of contents (36 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Localhost Detour from Public to Private Networks

    • Yehuda Afek, Anat Bremler-Barr, Dor Israeli, Alon Noy
    Pages 1-17

  3. Pseudo-random Walk on Ideals: Practical Speed-Up in Relation Collection for Class Group Computation

    • Madhurima Mukhopadhyay, Palash Sarkar
    Pages 18-31

  4. Efficient Extended GCD and Class Groups from Secure Integer Arithmetic

    • Berry Schoenmakers, Toon Segers
    Pages 32-48

  5. On Distributed Randomness Generation in Blockchains

    • Ilan Komargodski, Yoav Tamir
    Pages 49-64

  6. Efficient Skip Connections Realization for Secure Inference on Encrypted Data

    • Nir Drucker, Itamar Zimerman
    Pages 65-73

  7. Single Instance Self–masking via Permutations

    • Asaf Cohen, Paweł Cyprys, Shlomi Dolev
    Pages 74-84

  8. A Fusion-Based Framework for Unsupervised Single Image Super-Resolution

    • Divya Mishra, Itai Dror, Ofer Hadar, Daniel Choukroun, Shimrit Maman, Dan G. Blumberg
    Pages 85-95

  9. Generating One-Hot Maps Under Encryption

    • Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Hayim Shaul
    Pages 96-116

  10. Building Blocks for LSTM Homomorphic Evaluation with TFHE

    • Daphné Trama, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey
    Pages 117-134

  11. CANdito: Improving Payload-Based Detection of Attacks on Controller Area Networks

    • Stefano Longari, Carlo Alberto Pozzoli, Alessandro Nichelini, Michele Carminati, Stefano Zanero
    Pages 135-150

  12. Using Machine Learning Models for Earthquake Magnitude Prediction in California, Japan, and Israel

    • Deborah Novick, Mark Last
    Pages 151-169

  13. A Bag of Tokens Neural Network to Predict Webpage Age

    • Klaas Meinke, Tamis Achilles van der Laan, Tiberiu Iancu, Ceyhun Cakir
    Pages 170-180

  14. Correlations Between (Nonlinear) Combiners of Input and Output of Random Functions and Permutations

    • Subhabrata Samajder, Palash Sarkar
    Pages 181-187

  15. PPAuth: A Privacy-Preserving Framework for Authentication of Digital Image

    • Riyanka Jena, Priyanka Singh, Manoranjan Mohanty
    Pages 188-199

  16. Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO

    • George Vershinin, Asaf Cohen, Omer Gurewitz
    Pages 200-215

  17. The Use of Performance-Countersto Perform Side-Channel Attacks

    • Ron Segev, Avi Mendelson
    Pages 216-233

  18. HAMLET: A Transformer Based Approach for Money Laundering Detection

    • Maria Paola Tatulli, Tommaso Paladini, Mario D’Onghia, Michele Carminati, Stefano Zanero
    Pages 234-250

  19. Hollow-Pass: A Dual-View Pattern Password Against Shoulder-Surfing Attacks

    • Jiayi Tan, Dipti Kapoor Sarmah
    Pages 251-272

  20. Practical Improvements on BKZ Algorithm

    • Ziyu Zhao, Jintai Ding
    Pages 273-284
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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

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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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