Can I read Recent Advances in Machine Learning for Differential Cryptanalysis on EtoBox?

Recent Advances in Machine Learning for Differential Cryptanalysis by Isabella Martínez; Valentina López; Daniel Rambaut; Germán Obando; Valérie Gauthier-Umaña; Juan F. Pérez is a book available to read on EtoBox.

What is Recent Advances in Machine Learning for Differential Cryptanalysis about?

Differential cryptanalysis has proven to be a powerful tool to identify weaknesses in symmetric-key cryptographic systems such as block ciphers. Recent advances have shown that machine learning methods are able to produce very strong distinguishers for certain cryptographic systems. This has generated a large interest in the topic of machine learning for differential cryptanalysis as evidenced by a growing body of work in the last few years. In this paper we aim to provide a guide to the current state of the art in this topic in the hope that a unified view can better highlight the challenges and opportunities for researchers joining the field.

Author

Isabella Martínez; Valentina López; Daniel Rambaut; Germán Obando; Valérie Gauthier-Umaña; Juan F. Pérez

Publisher

Springer International Publishing

Published

2023

Language

EN

ISBN

9783031473715

Subjects

Computer Science, Stem