Paper Info
Title
A Technique to Test Non-Binary Random Number Generator
Abstract
Nowadays random numbers are used almost everywhere, e.g. in statistical tasks, gambling, information security, artificial intelligence. Quality of output numbers determine the successful task solving. However, a lot of information security tools implementations have not got reliable sources of really random numbers and as a result fail. In order to increase a random number generator rate non-binary random number generators are created. Nevertheless all known mechanisms to test output sequence can be applied only to binary numbers. The author propose a technique to obtain properties of non-binary random sequences based on von Neumann whitening and common known statistical tests.
Year
DOI
Venue
2018
10.1016/j.procs.2018.11.039
Procedia Computer Science
Keywords
DocType
Volume
random number generator,statistical testing,non-binary secuence,information secuity,artificial intelligence
Conference
145
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Anna Epishkina101.01