A brief and understandable guide to pseudo-random number generators and specific models for security-Reference-Cited by-同舟云学术

A brief and understandable guide to pseudo-random number generators and specific models for security

Published:2022-01-01 Issue:none Volume:16 Page:
ISSN:1935-7516
Container-title:Statistics Surveys
language:
Short-container-title:Statist. Surv.

Author:

Almaraz Luengo Elena¹

Affiliation:

1. Group of Analysis, Security and Systems (GASS); Department of Statistic and Operational Research, Faculty of Mathematical Science, Universidad Complutense de Madrid (UCM), Spain

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference213 articles.

1. ABDALLA, M., BELAÏD, S., POINTCHEVAL, D., RUHAULT, S. and VERGNAUD, D. (2015). Robust Pseudo-Random Number Generators with Input Secure Against Side-Channel Attacks. Cryptology ePrint Archive, Report 2015/1219.

2. AFFLERBACH, L. and GROTHE, H. (1988). The lattice structure of pseudorandom vectors generated by matrix generators. Journal of Computational and Applied Mathematics 23 127–131.

3. ALLARD, J. L., DOBELL, A. R. and HULL, T. E. (1963). Mixed Congruential Random Number Generators for Decimal Machines. Journal of the ACM 10 131–141.

4. ALMARAZ LUENGO, E. and GARCÍA VILLALBA, L. J. (2021). Recommendations on Statistical Randomness Test Batteries for Cryptographic Purposes. ACM Computing Surveys 54.

5. ALTMAN, N. S. (1988). Bitwise behavior of random number generators. SIAM Journal on Scientific and Statistical Computing 9 941–949.

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