Cited by 57Cryptographic Implementations and SecurityCoding theory and cryptographyComputer Science and Engineering

The DOI matches its Crossref record, with a small difference in title or year.

Data encryption standard (DES)

Biryukov, Alex, Cannière, Christophe·2006·Encyclopedia of Cryptography and Security

Overview

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Registry

Crossref · 10.1007/0-387-23483-7_94

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  • The Feistel network construction represents a significant improvement over the LCG in terms of the quality of its pseudo-random outputs.

    “The Feistel network construction is a core component of many modern encryption algorithms, such as the Data Encryption Standard (DES) and so represents a significant improvement over the LCG in terms of the quality of its pseudo-random outputs [7].”

    From Bandwidth-Optimal Random Shuffling for GPUs (2022) · cites this paper as [7]

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Metadata

Authors
Biryukov, A., & Cannière, C.
Venue
Encyclopedia of Cryptography and Security
Publisher
Springer US
Published
2006-09-09
Pages
129-135
OpenAlex
W4229488204
Cited by
57
References
0
Citations by year
2025: 3 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 4 · 2018: 3 · 2017: 2 · 2016: 4 · 2014: 6 · 2013: 3 · 2012: 4
Type
reference entry
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
  • Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
Keywords
Data Encryption Standard, DES, block cipher, cryptographic standards, symmetric encryption

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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.

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