Relevant bibliographies by topics / NIST test suite

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'NIST test suite'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "NIST test suite"

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Zubkov, Andrei Mikhailovich, and Aleksandr Aleksandrovich Serov. "Testing the NIST Statistical Test Suite on artificial pseudorandom sequences." Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography] 10, no. 2 (2019): 89–96. http://dx.doi.org/10.4213/mvk286.

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Обсуждаются результаты экспериментов с известным пакетом статистических критериев NIST, предназначенным для проверки гипотезы о равновероятности и независимости элементов двоичных последовательностей. В частности, рассмотрены условия на параметры чередования отрезков двух линейных рекуррентных последовательностей, при которых полученная последовательность успешно проходит все тесты пакета NIST.
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Okada, Kiyoshiro, Katsuhiro Endo, Kenji Yasuoka, and Shuichi Kurabayashi. "Learned pseudo-random number generator: WGAN-GP for generating statistically robust random numbers." PLOS ONE 18, no. 6 (2023): e0287025. http://dx.doi.org/10.1371/journal.pone.0287025.

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Pseudo-random number generators (PRNGs) are software algorithms generating a sequence of numbers approximating the properties of random numbers. They are critical components in many information systems that require unpredictable and nonarbitrary behaviors, such as parameter configuration in machine learning, gaming, cryptography, and simulation. A PRNG is commonly validated through a statistical test suite, such as NIST SP 800-22rev1a (NIST test suite), to evaluate its robustness and the randomness of the numbers. In this paper, we propose a Wasserstein distance-based generative adversarial ne
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Rahman, Gohar, and Chuah Chai Wen. "Omega Network Pseudorandom Key Generation Based on DNA Cryptography." Applied Sciences 12, no. 16 (2022): 8141. http://dx.doi.org/10.3390/app12168141.

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Eliminating the risk of bugs and external decryption in cryptographic keys has always been a challenge for researchers. The current research is based on a new design that uses an Omega network-based pseudorandom DNA key generation method to produce cryptographic keys for symmetric key systems. The designed algorithm initially takes two random binary numbers as inputs to the Omega network design, generating an output of 256 symmetric keys. The Omega network uses the concept of the central dogma of molecular biology (DNA and RNA properties), including DNA replication (for DNA) and the transcript
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Zubkov, Andrei Mikhailovich, and Aleksandr Aleksandrovich Serov. "Experimental study of NIST Statistical Test Suite ability to detect long repetitions in binary sequences." Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography] 14, no. 2 (2023): 137–45. http://dx.doi.org/10.4213/mvk443.

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Представлены и обсуждаются результаты эмпирического тестирования возможности обнаружения длинных повторов в двоичных последовательностях набором статистических тестов NIST. Набор детерминированных двоичных последовательностей, которые не отклоняются пакетом NIST, искажается детерминированным образом. Для того чтобы повредить двоичную последовательность, выбирается несколько ее подстрок фиксированной длины и каждая подстрока дублируется в случайном месте последовательности. Длина повторяющихся подстрок была выбрана значительно большей типичной длины самой длинной повторяющейся подстроки. Если к
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HAMANO, K., and T. KANEKO. "Correction of Overlapping Template Matching Test Included in NIST Randomness Test Suite." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A, no. 9 (2007): 1788–92. http://dx.doi.org/10.1093/ietfec/e90-a.9.1788.

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Pikuza, M. O., and S. Yu Mikhnevich. "Testing a hardware random number generator using NIST statistical test suite." Doklady BGUIR 19, no. 4 (2021): 37–42. http://dx.doi.org/10.35596/1729-7648-2021-19-4-37-42.

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Random number generators are required for the operation of cryptographic information protection systems. For а correct application of the generator in the field of information security, it is necessary that its output sequence to be indistinguishable from a uniformly distributed random sequence. To verify this, it is necessary to test the generator output sequence using various statistical test suites such as Dihard and NIST. The purpose of this work is to test a prototype hardware random number generator. The generator is built on the basis of the ND103L noise diode and has a random digital s
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Yamaguchi, Akihiro, Takaaki Seo, and Keisuke Yoshikawa. "On the pass rate of NIST statistical test suite for randomness." JSIAM Letters 2 (2010): 123–26. http://dx.doi.org/10.14495/jsiaml.2.123.

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Almaraz Luengo, Elena, and Javier Román Villaizán. "Cryptographically Secured Pseudo-Random Number Generators: Analysis and Testing with NIST Statistical Test Suite." Mathematics 11, no. 23 (2023): 4812. http://dx.doi.org/10.3390/math11234812.

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There are several areas of knowledge in which (pseudo-)random numbers are necessary, for example, in statistical–mathematical simulation or in cryptography and system security, among others. Depending on the area of application, it will be necessary that the sequences used meet certain requirements. In general, randomness and uniformity conditions are required in the generated sequences, which are checked with statistical tests, and conditions on sequence unpredictability if the application is in security. In the present work, a literature review on cryptographically secure pseudo-random numbe
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Ping, Ping, Feng Xu, and Zhi Jian Wang. "Generating High-Quality Random Numbers by Next Nearest-Neighbor Cellular Automata." Advanced Materials Research 765-767 (September 2013): 1200–1204. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1200.

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Cellular automaton (CA) has been widely investigated as random number generators (RNGs). However, the CA rule and the number of neighbors must be chosen carefully for good randomness. In Ref. [11], non-uniform CA with next nearest neighborhood was applied to generate a pseudo-random sequence. Considering that non-uniform CA has more complex implementation in hardware and needs lager memory to store different rules than uniform CA. In this paper, we propose new RNGs based on uniform CA with next nearest neighborhood. Time spacing technique and NIST statistical test suite are used to find optima
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Niemkova, Olena, and Mykhailo Kikh. "COMPARATIVE STUDY OF TESTS FOR ASSESSMENT OF STATISTICAL CHARACTERISTICS OF RANDOM AND PSEUDO-RANDOM SEQUENCE GENERATORS." Cybersecurity: Education, Science, Technique 4, no. 24 (2024): 115–32. http://dx.doi.org/10.28925/2663-4023.2024.24.115132.

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In the world of information security, computer science and cryptography, the issue of statistical security of generated sequences is very important. Statistical sequence security plays an important role in the following fields: cryptography, computer security, system modeling, statistical analysis, and information security in networks. This article is devoted to the study and comparison of test sets for evaluating the statistical properties of random and pseudorandom sequence generators. The comparison focuses on well-known test suites such as NIST, DieHard, and TestU01. These tests were selec
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Dissertations / Theses on the topic "NIST test suite"

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Michálek, Tomáš. "Efektivní generátor náhodných čísel v nízko-výkonových zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317140.

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This thesis solves the problem of generating random numbers on low-power devices. Author describes possible ways of generating and implements selected generators of (pseudo)random numbers on MSP430F5438A. 4 generators were added by the enhancement of one of them and a new generator was created, using the phenomenon of temperature change in the surroundings. For each generator, test sequences were generated and these sequences were tested by the Dieharder, STS-NIST, and Visual Test. The output of the thesis is the functional implementation of the generators, their testing by statistical methods
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Book chapters on the topic "NIST test suite"

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Sýs, Marek, and Zdeněk Říha. "Faster Randomness Testing with the NIST Statistical Test Suite." In Security, Privacy, and Applied Cryptography Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12060-7_18.

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Haramoto, Hiroshi, and Makoto Matsumoto. "A Method to Compute an Appropriate Sample Size of a Two-Level Test for the NIST Test Suite." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91436-7_15.

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Jóźwiak, Piotr Paweł, and Krzysztof Zatwarnicki. "Applicability Criterion of the Non Overlapping Template Matching Algorithm from NIST Statistical Test Suite SP800-22 for Long Aperiodic Patterns." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70819-0_27.

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Zentgraf, Sven, Sherief Ali, and Markus König. "Concept for Enriching NISO-STS Standards with Machine-Readable Requirements and Validation Rules." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.72.

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During building project planning, various standards, such as material specifications, value ranges, and construction regulations, must be considered. When analyzing a regulation for its BIM-based use, it must be identified which information can be checked directly or indirectly using a BIM model. The basis for the directly checkable information requirements is the explicit description of object classes, object types, properties, and values. Additionally, complex validation rules can be derived from the standards. These information extractions are mostly performed manually and laboriously on te
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Zentgraf, Sven, Sherief Ali, and Markus König. "Concept for Enriching NISO-STS Standards with Machine-Readable Requirements and Validation Rules." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.72.

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During building project planning, various standards, such as material specifications, value ranges, and construction regulations, must be considered. When analyzing a regulation for its BIM-based use, it must be identified which information can be checked directly or indirectly using a BIM model. The basis for the directly checkable information requirements is the explicit description of object classes, object types, properties, and values. Additionally, complex validation rules can be derived from the standards. These information extractions are mostly performed manually and laboriously on te
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Mandal Kalikinkar, Fan Xinxin, and Gong Guang. "Warbler: A Lightweight Pseudorandom Number Generator for EPC C1 Gen2 Tags." In Cryptology and Information Security Series. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-143-4-73.

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A pseudorandom number generator is an important component for implementing security functionalities on RFID tags. Most previous proposals focus on true random number generators that are usually inefficient for low-cost tags in terms of power consumption, area, and throughput. In this contribution, we propose a lightweight pseudorandom number generator (PRNG) for EPC Class-1 Generation-2 (EPC C1 Gen2) RFID tags. The proposed PRNG fully exploits nonlinear feedback shift registers and provides 16-bit random numbers that are required in the tag identification protocol of the EPC C1 Gen2 standard.
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Koikara, Rosemary, Eun-Joon Yoon, and Anand Paul. "A 3D-Cellular Automata-Based Publicly-Verifiable Threshold Secret Sharing." In Handbook of Research on Machine and Deep Learning Applications for Cyber Security. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9611-0.ch013.

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In secret sharing, a secret is distributed between various participants in a manner that an authorized group of participants in the appropriate access structures can recover this secret. However, a dealer might get corrupted by adversaries and may influence this secret sharing or the reconstruction process. Verifiable secret sharing (VSS) overcomes this issue by adding a verifiability protocol to the original secret sharing scheme. This chapter discusses a computationally secure publicly verifiable secret sharing scheme constructed using the three-dimensional cellular automata (3D CA). The ini
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T. S., Gururaja, Padmapriya Pravinkumar, and Neha Chaubey. "Implementation of RQFT-QTRNG Using Quantum Gates in the IBM Quantum Lab." In Advances in Information Security, Privacy, and Ethics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-9220-1.ch014.

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We propose to develop quantum true random number generation (QTRNG) in IBM's quantum laboratory by implementing the Random Quantum Fourier Transform (RQFT) technique utilizing quantum gates. This approach overcomes the imperfections caused by noise and decoherence in quantum circuits by utilizing the quantum Fourier transform (QFT) to replace the computational basis with a Fourier basis comprising a complex superposition of qubit states. For usage in symmetric and asymmetric cryptographic applications, the RQFT-based QTRNG produces unpredictable high quality random numbers. It satisfies all th
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Conference papers on the topic "NIST test suite"

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Suciu, Alin, Iszabela Nagy, Kinga Marton, and Ioana Pinca. "Parallel implementation of the NIST Statistical Test Suite." In 2010 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2010. http://dx.doi.org/10.1109/iccp.2010.5606412.

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Suresh, Vikram B., Daniele Antonioli, and Wayne P. Burleson. "On-chip lightweight implementation of reduced NIST randomness test suite." In 2013 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST). IEEE, 2013. http://dx.doi.org/10.1109/hst.2013.6581572.

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Suciu, A., K. Marton, I. Nagy, and I. Pinca. "Byte-oriented efficient implementation of the NIST statistical test suite." In 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR 2010). IEEE, 2010. http://dx.doi.org/10.1109/aqtr.2010.5520837.

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Okada, Hiroki, and Kazuhide Fukushima. "Revisiting the DFT Test in the NIST SP 800-22 Randomness Test Suite." In 9th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011626300003405.

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Lihua, Dong, Zeng Yong, Ji Ligang, and Han Xucang. "Study on the Pass Rate of NIST SP800-22 Statistical Test Suite." In 2014 Tenth International Conference on Computational Intelligence and Security (CIS). IEEE, 2014. http://dx.doi.org/10.1109/cis.2014.120.

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Hegadi, Rajendra, and Abhijit Prakash Patil. "A Statistical Analysis on In-Built Pseudo Random Number Generators Using NIST Test Suite." In 2020 5th International Conference on Computing, Communication and Security (ICCCS). IEEE, 2020. http://dx.doi.org/10.1109/icccs49678.2020.9276849.

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Pareschi, Fabio, Riccardo Rovatti, and Gianluca Setti. "On the approximation errors in the frequency test included in the NIST SP800-22 statistical test suite." In APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2008. http://dx.doi.org/10.1109/apccas.2008.4746245.

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Prajapat, Ram Prakash, Rajesh Bhadada, and Giriraj Sharma. "Implementation of Enhanced A5/1 Stream Cipher and its Randomness Analysis by NIST Test Suite." In 2021 IEEE International Symposium on Smart Electronic Systems (iSES). IEEE, 2021. http://dx.doi.org/10.1109/ises52644.2021.00102.

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Yoon, Inkwon, Jinseok Park, Yeong-Seo Park, et al. "Random Number Generators Utilizing Speckle Patterns from Blood Flow in Microfluidic Device." In Frontiers in Optics. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/fio.2023.jm4a.29.

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We introduce a novel blood flow-inspired RNG capable of generating random numbers at a speed of 5 MHz and validate the system using the NIST (National Institute of Standards and Technology) randomness statistical test suite.
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Johansson, Bjo¨rn, Raghu Kacker, Ru¨ediger Kessel, Charles McLean, and Ram Sriram. "Utilizing Combinatorial Testing on Discrete Event Simulation Models for Sustainable Manufacturing." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86522.

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This paper describes how combinatorial testing using covering arrays can be implemented to optimize discrete event simulation models of manufacturing systems for measures of sustainability. Discrete event simulation models often have hundreds of parameters and many test values for each parameter. Generally the interactions between the parameter-values are not well understood; this can lead to sub-optimization of the system. Most optimization engines and software for discrete event simulation packages use full factorial designs, which require many runs and hence a lot of computation time. In th
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Reports on the topic "NIST test suite"

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Forster, Amanda L., Fernando L. Podio, Dylan Yaga, and Christofer J. McGinnis. Conformance Test Architecture and Test Suite for ANSI/NIST-ITL 1-2011 NIEM XML Encoded Transactions. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.ir.7957.

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Kramer, Thomas R., and John Horst. Users manual for version 2.1.5 of the NIST DMIS test suite (for DMIS 5.1). National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7603.

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Kramer, Thomas R., and John Horst. Maintainers manual for version 2.2.1 of the NIST DMIS test suite (for DMIS 5.2). National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7720.

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Kramer, Thomas R., and John Horst. Users manual for version 2.2.1 of the NIST DMIS test suite (for DMIS 5.2). National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7735.

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Kramer, Thomas R., and John Horst. System builders manual for version 2.1.5 of the NIST DMIS test suite (for DMIS 5.1). National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7610.

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Kramer, Thomas R., and John Horst. System builders manual for version 2.2.1 of the NIST DMIS test suite (for DMIS 5.2). National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7715.

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