R-2 Composition 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

Springer

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

In this article a family of statistical randomness tests for binary strings are introduced, based on Golomb's pseudorandomness postulate R-2 on the number of runs. The basic idea is to construct recursive formulae with computationally tenable probability distribution functions. The technique is illustrated on testing strings of 2(7), 2(8), 2(10) and 2(12) bits. Furthermore, the expected value of the number of runs with a specific length is obtained. Finally the tests are applied to several collections of strings arising from different pseudorandom number generators.

Description

Keywords

Cryptography, Statistical randomness testing, Golomb's randomness postulates, Compositions, Run test, Combinatorial aspects of partitions of integers, cryptography, statistical randomness testing, Shift register sequences and sequences over finite alphabets in information and communication theory, compositions, Cryptography, Exact enumeration problems, generating functions, run test, Golomb's randomness postulates

Fields of Science

0101 mathematics, 01 natural sciences

Citation

WoS Q

Q2

Scopus Q

Q3
OpenCitations Logo
OpenCitations Citation Count
2

Source

Cryptography and Communications

Volume

11

Issue

5

Start Page

921

End Page

949

Collections

PlumX Metrics
Citations

Scopus : 6

Captures

Mendeley Readers : 4

SCOPUS™ Citations

6

checked on Mar 11, 2026

Web of Science™ Citations

4

checked on Mar 11, 2026

Page Views

5

checked on Mar 11, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.1045

Sustainable Development Goals

SDG data is not available