Exposing PRNG test suites via Python

Exposing the TestU01 and PractRand PRNG test suites to scientific libraries via Python

Presenter: Sean Callahan

Co-Presenter(s):
Maximillian Otto vonBlankenburg

Presenter Status: Undergraduate student

Academic Year: 20-21

Semester: Spring

Faculty Mentor: Mark Gondree

Department: Computer Science

Funding Source/Sponsor: RSCAP

Screenshot URL: https://drive.google.com/uc?id=1B52Mb9WYziQV4zNk0o_V3yT3Y2dEKHay

Abstract:
Pseudorandom Number Generators (PRNGs) are an essential component of many practical secure applications. Our objective with this project is to bring the PRNGs and Statistical Tests from the TestU01 and PractRand libraries to Python. In doing so, we bring an expansive set of test suites for researchers to leverage in their data science tools.