Detailed Information on Publication Record
2014
Constructing empirical tests of randomness
SÝS, Marek, Petr ŠVENDA, Martin UKROP and Václav MATYÁŠBasic information
Original name
Constructing empirical tests of randomness
Authors
SÝS, Marek (703 Slovakia, belonging to the institution), Petr ŠVENDA (203 Czech Republic, belonging to the institution), Martin UKROP (703 Slovakia, belonging to the institution) and Václav MATYÁŠ (203 Czech Republic, guarantor, belonging to the institution)
Edition
Portugal, SECRYPT 2014 Proceedings of the 11th International Conference on Security and Cryptography, p. 229-237, 9 pp. 2014
Publisher
SCITEPRESS – Science and Technology Publications
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
storage medium (CD, DVD, flash disk)
RIV identification code
RIV/00216224:14330/14:00073882
Organization unit
Faculty of Informatics
ISBN
978-989-758-045-1
Keywords in English
eSTREAM;Genetic Programming; Random Distinguisher; Randomness Statistical Testing; Software Circuit
Tags
International impact, Reviewed
Změněno: 26/5/2015 16:25, Mgr. Marek Sýs, Ph.D.
Abstract
V originále
In this paper we introduce a general framework for automatic construction of empirical tests of randomness. Our new framework generalises and improves a previous approach ( ˇSvenda et al., 2013) and it also provides a clear statistical interpretation of its results. This new approach was tested on selected stream ciphers from the eSTREAM competition. Results show that our approach can lay foundations to randomness testing and it is comparable to the Statistical Test Suite developed by NIST. Additionally, the proposed approach is able to perform randomness analysis even when presented with sequences shorter by several orders of magnitude than required by the NIST suite. Although the Dieharder battery still provides a slightly better randomness analysis, our framework is able to detect non-randomness for stream ciphers with limited number of rounds (Hermes, Fubuki) where both above-mentioned batteries fail.
Links
EE2.3.30.0037, research and development project |
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GAP202/11/0422, research and development project |
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