What type of study is this?

This is a Machine Learning study.

September 10, 2025DependabilityOpen Access

Intelligent system for analysing and classifying pseudorandom number generators

View Full Paper

Ask AI

Bookmark

The analysis identifies weaknesses in non-cryptographic pseudorandom number generators (PRNGs), impacting their security.
Machine learning methods, including neural networks and statistical tests, were utilized to assess PRNG performance.
The findings reveal the significant influence of selected PRNG structures and numerical parameters on predictability.
Results support the effectiveness of combining machine learning with directed search for enhanced PRNG classification.

No takes yet. Share an insight, caveat, or question.

The research shows the predictability of pseudorandom number generators, indicating potential security risks.

Avtonoshkin et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark