Breaking grain-128 with dynamic cube attacks

132Citations
Citations of this article
69Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We present a new variant of cube attacks called a dynamic cube attack. Whereas standard cube attacks [4] find the key by solving a system of linear equations in the key bits, the new attack recovers the secret key by exploiting distinguishers obtained from cube testers. Dynamic cube attacks can create lower degree representations of the given cipher, which makes it possible to attack schemes that resist all previously known attacks. In this paper we concentrate on the well-known stream cipher Grain-128 [6], on which the best known key recovery attack [15] can recover only 2 key bits when the number of initialization rounds is decreased from 256 to 213. Our first attack runs in practical time complexity and recovers the full 128-bit key when the number of initialization rounds in Grain-128 is reduced to 207. Our second attack breaks a Grain-128 variant with 250 initialization rounds and is faster than exhaustive search by a factor of about 228. Finally, we present an attack on the full version of Grain-128 which can recover the full key but only when it belongs to a large subset of 2-10 of the possible keys. This attack is faster than exhaustive search over the 2118 possible keys by a factor of about 215. All of our key recovery attacks are the best known so far, and their correctness was experimentally verified rather than extrapolated from smaller variants of the cipher. This is the first time that a cube attack was shown to be effective against the full version of a well known cipher which resisted all previous attacks. © 2011 Springer-Verlag.

Cite

CITATION STYLE

APA

Dinur, I., & Shamir, A. (2011). Breaking grain-128 with dynamic cube attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6733 LNCS, pp. 167–187). https://doi.org/10.1007/978-3-642-21702-9_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free