The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Differential-Linear Cryptanalysis
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Linear Cryptanalysis Method for DES Cipher
Matsui, M. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-48285-7_33 · Cited by 2,748
Differential Cryptanalysis of the Data Encryption Standard
Biham, E., & Shamir, A. (1993) · Springer eBooks · doi:10.1007/978-1-4613-9314-6 · Cited by 1,054
Special Feature Exhaustive Cryptanalysis of the NBS Data Encryption Standard
Diffie, W., & Hellman, M. E. (1977) · Computer · doi:10.1109/c-m.1977.217750 · Cited by 567
Self-citationThe First Experimental Cryptanalysis of the Data Encryption Standard
Matsui, M. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-48658-5_1 · Cited by 416
Wiener, M. J. (1993) · Cited by 142
Linear Cryptanalysis Method for DES
Matsui, M. (1993) · International Cryptology Conference · Cited by 42
Cited by
Handbook of applied cryptography
(1997) · Choice Reviews Online · doi:10.5860/choice.34-4512 · Cited by 10,357
PRESENT: An Ultra-Lightweight Block Cipher
Bogdanov, A., Knudsen, L. R., Leander, G., Paar, C., Poschmann, A., Robshaw, M. J. B., Seurin, Y., & Vikkelsoe, C. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74735-2_31 · Cited by 2,867
KATAN and KTANTAN — A Family of Small and Efficient Hardware-Oriented Block Ciphers
De Cannière, C., Dunkelman, O., & Knežević, M. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-04138-9_20 · Cited by 678
A Deeper Look at Machine Learning-Based Cryptanalysis
Benamira, A., Gerault, D., Peyrin, T., & Tan, Q. Q. (2021) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-77870-5_28 · Cited by 130
A New 1D Chaotic Map and $\beta$ -Hill Climbing for Generating Substitution-Boxes
Alzaidi, A. A., Ahmad, M., Doja, M. N., Solami, E. A., & Beg, M. M. S. (2018) · IEEE Access · doi:10.1109/access.2018.2871557 · Cited by 108
Metadata
- Authors
- Langford, S. K., & Hellman, M. E.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007-08-09
- Pages
- 17-25
- OpenAlex
- W1556727271
- Cited by
- 273
- References
- 6
- FWCI
- 5.20
- Type
- conference paper
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Differential-Linear Cryptanalysis. https://app.cochat.ai/papers/10.1007/3-540-48658-5_3
- The paper
- Langford, S. K., & Hellman, M. E. (2007). Differential-Linear Cryptanalysis. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-48658-5_3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
