Cited by 40Cryptographic Implementations and SecurityCoding theory and cryptographyCryptography and Residue Arithmetic

Cryptanalysis of the "Grain" family of stream ciphers

Maximov, Alexander·2006·Proceedings of the 2006 ACM Symposium on Information, computer and communications security

Abstract

Let us have an NLFSR with the feedback function g(x) and an LFSR with the generating polynomial f(x). The function g(x) is a Boolean function on the state of the NLFSR and the LFSR, at any time instance t. Whenever the LFSR has good statistical properties, it is used for controlling the randomness of the NLFSR's state machine. In this paper we define and study the general class of "Grain" family of stream ciphers, where the keystream bits are generated by another Boolean function h(y) on the states of the NLFSR and the LFSR. We show that the cryptographic strength of this family is related to the general decoding problem, when a key-recovering attack is considered. A proper choice of the functions f(·), g(·) and h(·) could, potentially, give us a strong instance of a stream cipher. One of such stream ciphers Grain was recently proposed as a candidate for the European project ECRYPT in May, 2005. Grain uses the secret key of length 80 bits and its internal state is of size 160 bits. It was suggested as a fast and small primitive for efficient hardware implementation. In our work we propose the analysis of such structures in general, and, in particular, we give a linear distinguishing attack on Grain with time complexity O(254), when O(251) bits of the keystream is available. This is the first paper presenting an attack on Grain, and it reveals a leakage in the choice of the functions in this particular design instance.

Integrity signals

Registry

Crossref · 10.1145/1128817.1128859

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • If the NFSR and output function are chosen with high nonlinearity and suitable resiliency, ciphers similar to Grain-v0 will be resistant to linear approximation attacks.

    “In [32] it has been discussed that if the NFSR and the output function are chosen with high nonlinearity and suitable resiliency, the ciphers similar to Grain-v0 will be resistant to linear approximations attacks.”
  • A linear approximation attack was applied to Grain-v0.

    “A linear approximation attack was applied to Grain-v0 [32].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Maximov, A.
Affiliations
Lund University (SE)
Corresponding author
Maximov, Alexander
Venue
Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Publisher
ACM
Published
2006-03-21
Pages
283-288
OpenAlex
W2071705091
Cited by
40
References
1
Citations by year
2025: 3 · 2024: 1 · 2022: 1 · 2020: 1 · 2019: 2 · 2018: 3 · 2017: 1 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 1
FWCI
3.83
Type
conference paper
Language
en
Open access
closed
Locations
  • ACM Asia Conference on Computer and Communications Security (ASIA CCS) (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
  • Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
Keywords
Grain stream cipher, cryptanalysis, nonlinear feedback shift registers, linear feedback shift registers, Boolean functions, key recovery attack, keystream generation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review