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Part of book or chapter of book . 2005 . Peer-reviewed
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Differential Cryptanalysis for Multivariate Schemes

Authors: Pierre-Alain Fouque; Louis Granboulan; Jacques Stern;

Differential Cryptanalysis for Multivariate Schemes

Abstract

In this paper we propose a novel cryptanalytic method against multivariate schemes, which adapts differential cryptanalysis to this setting. In multivariate quadratic systems, the differential of the public key is a linear map and has invariants such as the dimension of the kernel. Using linear algebra, the study of this invariant can be used to gain information on the secret key. We successfully apply this new method to break the original Matsumoto-Imai cryptosystem using properties of the differential, thus providing an alternative attack against this scheme besides the attack devised by Patarin. Next, we present an attack against a randomised variant of the Matsumoto-Imai cryptosystem, called PMI. This scheme has recently been proposed by Ding, and according to the author, it resists all previously known attacks. We believe that differential cryptanalysis is a general and powerful method that can give additional insight on most multivariate schemes proposed so far.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
69
Top 10%
Top 10%
Top 10%
bronze