An Online Platform for Testing and Evaluating Random Number Generators

Kubczak, Paweł; Woźniak, Wiktor; Nikonowicz, Jakub; Matuszewski, Łukasz; Jessa, M.

doi:10.23919/softcom52868.2021.9559127

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…Kubczak et al, took the testing experience of RNGs to an advanced level with the proposal of online tool called "ORANGUTAN" for testing the quality of RNGs. 94 The system makes use of the original random sequences matching technique, and as a result, the user receives evaluation metrics like cost and length ratios that are simple to understand. Thus, it would be interesting to develop ML and AI based RNGs and tools to test the quality of random numbers.…”

Section: Future Work and Research Opportunitiesmentioning

confidence: 99%

“…The results concluded that the proposed ANN based testing tool performed better than existing benchmarking tools like Dieharder. Kubczak et al, took the testing experience of RNGs to an advanced level with the proposal of online tool called “ORANGUTAN” for testing the quality of RNGs 94 . The system makes use of the original random sequences matching technique, and as a result, the user receives evaluation metrics like cost and length ratios that are simple to understand.…”

Section: Future Work and Research Opportunitiesmentioning

confidence: 99%

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A resource efficient pseudo random number generator based on sawtooth maps for Internet of Things

Zia

McCartney

Scotney

et al. 2023

Security and Privacy

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The strength of cryptographic keys rely on the random number generators (RNGs) to produce random seed values. Unfortunately there are not many RNGs options suitable for Internet of Things (IoTs) scenario, due to limited processing resources and bulk quantity of IoT data that needs to be secured. In this article, we studied sawtooth map which is a chaotic map. However, when implemented on a computer, the sawtooth map results on a non‐chaotic orbit due to the finite precision of computation. This can be avoided if we use the sawtooth map as the local map in a coupled map lattice (CML) system. We explore such coupled map systems for randomness through entropy and statistical analysis. Based on the results, we propose a lightweight hybrid pseudo random number generator (PRNG) based on sawtooth based CML system and SPONGENT hashing. The proposed PRNG is thoroughly tested against statistical attacks, entropy analysis, key space analysis and compared with existing state of the art solutions. The results provide evidence that the proposed PRNG produces random numbers that could produce sufficiently strong cryptographic keys for resource constrained IoT devices.

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Section: Future Work and Research Opportunitiesmentioning

confidence: 99%

Section: Future Work and Research Opportunitiesmentioning

confidence: 99%