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Cryptographic Grade Chaotic Random Number Generator Based on Tent-Map

  • Ahmad Al-Daraiseh
  • , Yousef Sanjalawe
  • , Salam Al-E’mari
  • , Salam Fraihat
  • , Mohammad Bany Taha
  • , Muhammed Al-Muhammed
  • American University of Madaba
  • University of Petra

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In recent years, there has been an increasing interest in employing chaotic-based random number generators for cryptographic purposes. However, many of these generators produce sequences that lack the necessary strength for cryptographic systems, such as Tent-Map. However, these generators still suffer from common issues when generating random numbers, including issues related to speed, randomness, lack of statistical properties, and lack of uniformity. Therefore, this paper introduces an efficient pseudo-random number generator, called State-Based Tent-Map (SBTM), based on a modified Tent-Map, which addresses this and other limitations by providing highly robust sequences suitable for cryptographic applications. The proposed generator is specifically designed to generate sequences with exceptional statistical properties and a high degree of security. It utilizes a modified 1D chaotic Tent-Map with enhanced attributes to produce the chaotic sequences. Rigorous randomness testing using the Dieharder test suite confirmed the promising results of the generated keystream bits. The comprehensive evaluation demonstrated that approximately 97.4% of the tests passed successfully, providing further evidence of the SBTM’s capability to produce sequences with sufficient randomness and statistical properties.

Original languageEnglish
Article number73
JournalJournal of Sensor and Actuator Networks
Volume12
Issue number5
DOIs
StatePublished - Oct 2023

Keywords

  • Dieharder
  • Tent-Map
  • chaotic
  • random number generator

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