Welcome to the resource topic for 2024/1197
Title:
Optimizing Rectangle and Boomerang Attacks: A Unified and Generic Framework for Key Recovery
Authors: Qianqian Yang, Ling Song, Nana Zhang, Danping Shi, Libo Wang, Jiahao Zhao, Lei Hu, Jian Weng
Abstract:The rectangle attack has shown to be a very powerful form of cryptanalysis against block ciphers. Given a rectangle distinguisher, one expects to mount key recovery attacks as efficiently as possible. In the literature, there have been four algorithms for rectangle key recovery attacks. However, their performance varies from case to case. Besides, numerous are the applications where the attacks lack optimality. In this paper, we delve into the rectangle key recovery and propose a unified and generic key recovery algorithm, which supports any possible attacking parameters. Not only does it encompass the four existing rectangle key recovery algorithms, but it also reveals five new types of attacks that were previously overlooked. Further, we put forward a counterpart for boomerang key recovery attacks, which supports any possible attacking parameters as well. Along with these new key recovery algorithms, we propose a framework to automatically determine the best parameters for the attack. To demonstrate the efficiency of the new key recovery algorithms, we apply them to \serpent, \aes-192, \craft, \skinny, and \deoxysbc-256 based on existing distinguishers, yielding a series of improved attacks.
ePrint: https://eprint.iacr.org/2024/1197
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