Generic Framework for Key-Guessing Improvements
2021Konferenz / Journal
Autor*innen
Gregor Leander Federico Canale María Naya-Plasencia Antonio Flórez-Gutiérrez Marek Broll
Research Hub
Research Hub A: Kryptographie der Zukunft
Research Challenges
RC 1: Cryptography against Mass Surveillance
Abstract
We propose a general technique to improve the key-guessing step of several attacks on block ciphers. This is achieved by defining and studying some new properties of the associated S-boxes and by representing them as a special type of decision trees that are crucial for finding fine-grained guessing strategies for various attack vectors. We have proposed and implemented the algorithm that efficiently finds such trees, and use it for providing several applications of this approach, which include the best known attacks on Noekeon, GIFT, and RECTANGLE.