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The Efficient Randomness Testing using Boolean Functions

SÝS, Marek, Dušan KLINEC a Petr ŠVENDA. The Efficient Randomness Testing using Boolean Functions. In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - Volume 4: SECRYPT, Madrid, Spain, July 24-26, 2017. Madrid, Spain: SCITEPRESS, 2017. s. 92-103, 12 s. ISBN 978-989-758-259-2. doi:10.5220/0006425100920103.
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Základní údaje
Originální název The Efficient Randomness Testing using Boolean Functions
Autoři SÝS, Marek (703 Slovensko, garant, domácí), Dušan KLINEC (703 Slovensko, domácí) a Petr ŠVENDA (203 Česká republika, domácí).
Vydání Madrid, Spain, Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - Volume 4: SECRYPT, Madrid, Spain, July 24-26, 2017, od s. 92-103, 12 s. 2017.
Nakladatel SCITEPRESS
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor Computer sciences, information science, bioinformatics
Stát vydavatele Portugalsko
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
WWW URL
Kód RIV RIV/00216224:14330/17:00095141
Organizační jednotka Fakulta informatiky
ISBN 978-989-758-259-2
Doi http://dx.doi.org/10.5220/0006425100920103
Klíčová slova anglicky booltest; randomness; randomness testing; polynomials; NIST STS; Dieharder; boolean functions; statistical randomness test
Štítky firank_B
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: RNDr. Pavel Šmerk, Ph.D., učo 3880. Změněno: 27. 4. 2018 11:02.
Anotace
The wide range of security applications requires data either truly random or indistinguishable from the random. The statistical tests included in batteries like NIST STS or Dieharder are frequently used to assess this randomness property. We designed principally simple, yet powerful statistical randomness test working on the bit level and based on a search for boolean function(s) exhibiting bias not expected for truly random data when applied to the tested stream. The deviances are detected in seconds rather than tens of minutes required by the common batteries. Importantly, the boolean function exhibiting the bias directly describes the pattern responsible for this bias - allowing for construction of bit predictor or fixing the cause of bias in tested function design. The present bias is frequently detected in at least order of magnitude less data than required for NIST STS or Dieharder showing that the tests included in these batteries are either too simple to spot the common biases (like Monobit test) or overly complex (like Fourier Transform test) which requires an extensive amount of data. The proposed approach called BoolTest fills this gap. The performance was verified on more than 20 real world cryptographic functions – block and stream ciphers, hash functions and pseudorandom generators. Among others, the previously unknown bias in output of C rand() and Java Random generators which can be utilized as practical distinguisher was found.
Návaznosti
GA16-08565S, projekt VaVNázev: Rozvoj kryptoanalytických metod prostřednictvím evolučních výpočtů
Investor: Grantová agentura ČR, Standardní projekty
VytisknoutZobrazeno: 22. 3. 2019 03:37

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