Random Number Generators for Cryptographic Applications
By W. Schindler. Cryptographic Engineering, 2009
323 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/b10645ba50659828148e67dc612530f6dad9920f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Alex Reznik
- Narayan B. Mandayam
- Wade Trappe
- Steven S. Skiena
- Suhas Mathur
- Chunxuan Ye
- Bryan Perozzi
- William L. Hamilton
In Computational Theory and Mathematics
- Alex Reznik
- Narayan B. Mandayam
- Wade Trappe
- Steven S. Skiena
- Suhas Mathur
- Chunxuan Ye
- Louis H. Rowen
- Zur Izhakian
In Computer Vision and Pattern Recognition
- Alex Reznik
- Narayan B. Mandayam
- Wade Trappe
- Steven S. Skiena
- Suhas Mathur
- Chunxuan Ye
- Zur Izhakian
- Louis H. Rowen
Citations in the corpus
- The Algorithm Design Manual (2020, methodology): “The National Institute of Standards [BRS+10] has prepared an extensive statistical test suite to validate random number generators.”
- Radio-telepathy: extracting a secret key from an unauthenticated wireless channel (2008, methodology): “We refer the interested reader to [32] for a description of these tests and the definitions of p − value for each test.”