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Journal of Symbolic Computation
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Stream/block ciphers, difference equations and algebraic attacks

Authors: La Scala R.; Tiwari S. K.;

Stream/block ciphers, difference equations and algebraic attacks

Abstract

In this paper we model a class of stream and block ciphers as systems of (ordinary) explicit difference equations over a finite field. We call this class "difference ciphers" and we show that ciphers of application interest, as for example systems of LFSRs with a combiner, Trivium and Keeloq, belong to the class. By using Difference Algebra, that is, the formal theory of difference equations, we can properly define and study important properties of these ciphers, such as their invertibility and periodicity. We describe then general cryptanalytic methods for difference ciphers that follow from these properties and are useful to assess the security. We illustrate such algebraic attacks in practice by means of the ciphers Bivium and Keeloq.

26 pages, to appear in Journal of Symbolic Computation

Keywords

Computer Science - Symbolic Computation, FOS: Computer and information sciences, Computer Science - Cryptography and Security, Stream and block ciphers, Mathematics - Rings and Algebras, Symbolic Computation (cs.SC), Mathematics - Commutative Algebra, Commutative Algebra (math.AC), 510, 620, Gröbner base, Rings and Algebras (math.RA), Algebraic difference equation, FOS: Mathematics, Cryptography and Security (cs.CR)

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    influence
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citations
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!
5
Top 10%
Average
Top 10%
Green
bronze