Periodic Template Tests: a Family of Statistical Randomness Tests for a Collection of Binary Sequences

Loading...
Publication Logo

Date

2019

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

Research Projects

Journal Issue

Abstract

In this work, we classify all templates according to their periods and for each template we evaluate the exact probabilities using generating functions. Afterwards, we propose a new family of statistical randomness tests, that is periodic template tests, for a collection of binary sequences. We apply these tests to the outputs of AES, SHA-3, SHA-2 family, SHA-1 and MD5 and the binary expansion of pi and root 2 and biased non-random data to test the power of new tests. Moreover, we give the probabilities for all templates for the overlapping template matching test in the NIST test suite. Afterwards, we analyse the power of templates and compare the periodic template tests with NIST overlapping template test. (C) 2019 Elsevier B.V. All rights reserved.

Description

Keywords

Cryptography, Statistical randomness testing, NIST test suite, Periodic template tests, Overlapping template matching test, cryptography, statistical randomness testing, Cryptography, periodic template tests, NIST test suite, Fault detection; testing in circuits and networks, Parametric hypothesis testing, overlapping template matching test

Turkish CoHE Thesis Center URL

Fields of Science

0101 mathematics, 01 natural sciences

Citation

WoS Q

Q2

Scopus Q

Q3
OpenCitations Logo
OpenCitations Citation Count
18

Source

Discrete Applied Mathematics

Volume

271

Issue

Start Page

191

End Page

204

Collections

PlumX Metrics
Citations

CrossRef : 21

Captures

Mendeley Readers : 2

Web of Science™ Citations

8

checked on Feb 08, 2026

Page Views

4

checked on Feb 08, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
1.38255971

Sustainable Development Goals

SDG data is not available