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Authors: Pol Hölzmer ; Manuel Koschuch and Matthias Hudler

Affiliation: Competence Centre for IT Security, University of Applied Sciences FH Campus Wien, Vienna, Austria

Keyword(s): Statistical Randomness Tests, NIST SP 800-22, Open Source, Binary Classifier, Randomness-as-a-Feature.

Abstract: Randomness is ambiguously defined as the absence of structure, whereby reliable generation and evaluation thereof imposes a complex problem. Efforts have been made to quantify randomness by developing randomness test suites as aggregation of selected statistical methods. This study aims to evaluate caveats developers may encounter employing such methods, and compares the application of randomness test suites for arbitrary data to evaluate features of randomness. Therefore, an initial set of three open-source Python-based implementations of the NIST SP 800-22 test suite have been analyzed and compared. The results indicate no ”one-size-fits-all” approach when assessing randomness; instead, it demonstrates how deviations between specification and implementation can lead to inaccurate results and erroneous conclusions about randomness.

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Paper citation in several formats:
Hölzmer, P.; Koschuch, M. and Hudler, M. (2022). Putting Chaos into Perspective: Evaluation of Statistical Test Suite Implementations on Isolated Sequences of Arbitrary Length. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-564-7; ISSN 2184-4976, SciTePress, pages 258-266. DOI: 10.5220/0011087400003194

@conference{iotbds22,
author={Pol Hölzmer. and Manuel Koschuch. and Matthias Hudler.},
title={Putting Chaos into Perspective: Evaluation of Statistical Test Suite Implementations on Isolated Sequences of Arbitrary Length},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2022},
pages={258-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011087400003194},
isbn={978-989-758-564-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Putting Chaos into Perspective: Evaluation of Statistical Test Suite Implementations on Isolated Sequences of Arbitrary Length
SN - 978-989-758-564-7
IS - 2184-4976
AU - Hölzmer, P.
AU - Koschuch, M.
AU - Hudler, M.
PY - 2022
SP - 258
EP - 266
DO - 10.5220/0011087400003194
PB - SciTePress

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