SÝS, Marek, Petr ŠVENDA, Martin UKROP and Václav MATYÁŠ. Constructing empirical tests of randomness. In Mohammad S. Obaidat, Andreas Holzinger and Pierangela Samarati. SECRYPT 2014 Proceedings of the 11th International Conference on Security and Cryptography. Portugal: SCITEPRESS – Science and Technology Publications. p. 229-237. ISBN 978-989-758-045-1. doi:10.5220/0005023902290237. 2014.
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Basic 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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
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
Doi http://dx.doi.org/10.5220/0005023902290237
Keywords in English eSTREAM;Genetic Programming; Random Distinguisher; Randomness Statistical Testing; Software Circuit
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marek Sýs, Ph.D., učo 232886. Changed: 26/5/2015 16:25.
Abstract
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 projectName: Zaměstnáním nejlepších mladých vědců k rozvoji mezinárodní spolupráce
GAP202/11/0422, research and development projectName: Bezpečnostní protokoly podporující soukromí a detekce průniku v bezdrátových senzorových sítích (Acronym: P202/11/0422)
Investor: Czech Science Foundation
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