On the Security of Random Sources
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Coron's modification is a variant test statistic which enables better detection of defects in the tested sequence.
“We use the modification by Coron [2], a variant test statistic which enables better detection of defects in the tested sequence.”
From Checking the quality of approximation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml84" display="inline" overflow="scroll" altimg="si2.gif"><mml:mi>p</mml:mi></mml:math>-values in statistical tests for random number generators by using a three-level test (2019) · cites this paper as [2]
Cited by
Sorted by citations
Pareschi, F., Rovatti, R., & Setti, G. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2185227 · Cited by 189 · see citing works
Haramoto, H., & Matsumoto, M. (2019) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2018.08.005 · Cited by 8 · see citing works
“We use the modification by Coron [2], a variant test statistic which enables better detection of defects in the tested sequence.”
Method
- Authors
- Coron, J. S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1999
- Pages
- 29-42
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1545698176
- Cited by
- 37
- References
- 0
- Citations by year
- 2021: 2 · 2020: 2 · 2018: 4 · 2017: 2 · 2016: 4 · 2015: 4 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 0.56
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- 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 › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Keywords
- random number generators, randomness testing, entropy estimation, block cipher, key size, defect detection
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 ›
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