Reducing the Cost of Machine Learning Differential Attacks Using Bit Selection and a Partial ML-Distinguisher
Abstract
References
Recommendations
Differential-ML Distinguisher: Machine Learning Based Generic Extension for Differential Cryptanalysis
Progress in Cryptology – LATINCRYPT 2021AbstractThe differential attack is a basic cryptanalytic technique for block ciphers. Application of machine learning shows promising results for the differential cryptanalysis. In this paper, we present a new technique to extend the classical ...
Improved Differential-ML Distinguisher: Machine Learning Based Generic Extension for Differential Analysis
Information and Communications SecurityAbstractAt CRYPTO 2019, Gohr first proposes a deep learning based differential analysis on round-reduced Speck32/64. Then Yadav present a framework to construct the differential-ML (machine learning) distinguisher by combining the traditional ...
Biased differential distinguisher – Cryptanalysis of reduced-round SKINNY
AbstractSKINNY is a lightweight tweakable block cipher which received a great deal of cryptanalytic attention due to its elegant structure and efficiency. Despite the cryptanalytic efforts the security margins are remaining ...
Comments
Information & Contributors
Information
Published In
![cover image Guide Proceedings](/cms/asset/52abfa7e-b91b-4f99-9722-ec74716f232a/978-3-031-30122-3.cover.jpg)
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in