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2018 | OriginalPaper | Chapter

4. Testing Pseudorandom Generators

Author : Ronald T. Kneusel

Published in: Random Numbers and Computers

Publisher: Springer International Publishing

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Abstract

Testing pseudorandom number generators is not quite as straightforward as it might seem. In this chapter we consider classical tests of randomness and apply them to the generators discussed in Chap. 2. Next we investigate two popular test suites: dieharder (based on the older DIEHARD) and TestU01, and one quick test program (ent). These test suites are the benchmarks against which researchers generally measure new algorithms.

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previous chapter Generating Nonuniform Random Numbers

next chapter Parallel Random Number Generators

Brown, Robert G., Dirk Eddelbuettel, and David Bauer. “Dieharder: A random number test suite.” Open Source software library, under development (2013). http://webhome.phy.duke.edu/~rgb/General/dieharder.php.

L’Ecuyer, Pierre, and Richard Simard. “TestU01: AC library for empirical testing of random number generators.” ACM Transactions on Mathematical Software (TOMS) 33, no. 4 (2007): 22. http://simul.iro.umontreal.ca/testu01/tu01.html.

Knuth, D.E. Seminumerical Algorithms. The Art of Computer Programming (2nd ed.), Vol. 2, Addison-Wesley, Reading, MA (1981).

Bassham III, Lawrence E., Andrew L. Rukhin, Juan Soto, James R. Nechvatal, Miles E. Smid, Elaine B. Barker, Stefan D. Leigh, et al. “Sp 800-22 rev. 1a. a statistical test suite for random and pseudorandom number generators for cryptographic applications.” (2010).

https://www.random.org/.

https://www.fourmilab.ch/hotbits/.

Marsaglia, George. “DIEHARD statistical tests.” (CDROM), Florida State University (1995).

Title: Testing Pseudorandom Generators
Author: Ronald T. Kneusel
Publisher: Springer International Publishing
Book: Random Numbers and Computers
Print ISBN: 978-3-319-77696-5

Electronic ISBN: 978-3-319-77697-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-77697-2_4

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