Diehard

The diehard tests are a battery of statistical tests for measuring the quality of a random number generator.

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References in zbMATH (referenced in 80 articles )

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  1. Kaur, Rajwinder; Singh, Butta: A hybrid algorithm for robust image steganography (2021)
  2. Wu, Xinying; Ma, Yuan; Chen, Tianyu; Lv, Na: A distinguisher for RNGs with LFSR post-processing (2021)
  3. Gevorkyan, M. N.; Demidova, A. V.; Korol’kova, A. V.; Kulyabov, D. S.: A practical approach to testing random number generators in computer algebra systems (2020)
  4. Bernard, Florent; Haddad, Patrick; Fischer, Viktor; Nicolai, Jean: From physical to stochastic modeling of a TERO-based TRNG (2019)
  5. Deon, Aleksei F.; Menyaev, Yulian A.: Poisson twister generator by cumulative frequency technology (2019)
  6. Munir, Fahad A.; Zia, Muhammad; Mahmood, Hasan: Designing multi-dimensional logistic map with fixed-point finite precision (2019)
  7. Uğuz, Muhiddin; Doğanaksoy, Ali; Sulak, Fatih; Koçak, Onur: R-2 composition tests: a family of statistical randomness tests for a collection of binary sequences (2019)
  8. Yosefnezhad Irani, Behzad; Ayubi, Peyman; Amani Jabalkandi, Fardin; Yousefi Valandar, Milad; Jafari Barani, Milad: Digital image scrambling based on a new one-dimensional coupled sine map (2019)
  9. Zubkov, A. M.; Serov, A. A.: Testing the NIST statistical test suite on artificial pseudorandom sequences (2019)
  10. Contassot-Vivier, Sylvain; Couchot, Jean-François; Héam, Pierre-Cyrille: Gray codes generation algorithm and theoretical evaluation of random walks in (N)-cubes (2018)
  11. Kneusel, Ronald T.: Random numbers and computers (2018)
  12. Kocak, Onur; Sulak, Fatih; Doganaksoy, Ali; Uguz, Muhiddin: Modifications of Knuth randomness tests for integer and binary sequences (2018)
  13. Saito, Asaki; Yamaguchi, Akihiro: Pseudorandom number generator based on the Bernoulli map on cubic algebraic integers (2018)
  14. Shen, Jiahui; Chen, Tianyu; Wang, Lei; Ma, Yuan: An efficiency optimization scheme for the on-the-fly statistical randomness test (2018)
  15. Aljahdali, Asia; Mascagni, Michael: Feistel-inspired scrambling improves the quality of linear congruential generators (2017)
  16. Contassot-Vivier, Sylvain; Couchot, Jean-François; Guyeux, Christophe; Heam, Pierre-Cyrille: Random walk in a (\mathsfN)-cube without Hamiltonian cycle to chaotic pseudorandom number generation: theoretical and practical considerations (2017)
  17. Machicao, Jeaneth; Bruno, Odemir M.: Improving the pseudo-randomness properties of chaotic maps using deep-zoom (2017)
  18. Ma, Yuan; Lin, Jingqiang; Jing, Jiwu: On the entropy of oscillator-based true random number generators (2017)
  19. Benamara, Oualid; Merazka, Fatiha; Betina, Kamel: An improvement of a cryptanalysis algorithm (2016)
  20. Faure, Emil V.; Shcherba, Anatoly I.; Rudnytskyi, V. M.: The method and criterion for quality assessment of random number sequences (2016)

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