NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Andrew L Rukhin (Assoc)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 51 - 56 of 56

Transformation, Ranking, and Clustering for Face Recognition Algorithm Performance

January 1, 2002
Author(s)
Stefan D. Leigh, Nathanael A. Heckert, Andrew L. Rukhin, P J. Phillips, Patrick J. Grother, E M. Newton, M Moody, K Kniskern, S Heath
The performance of face recognition algorithms is recently of increased interest, although to date empirical analyses of algorithms have been limited to rank-based scores such a cumulative match score and receiver operating characteristic. This paper

A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications

May 15, 2001
Author(s)
Andrew L. Rukhin, Juan Soto, James R. Nechvatal, Miles E. Smid, Elaine B. Barker, Stefan D. Leigh, M Levenson, M Vangel, D L. Banks, Nathanael A. Heckert, James F. Dray Jr., S C. Vo
[Superseded by SP 800-22 Revision 1a (April 2010): http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906762] This paper discusses some aspects of selecting and testing random and pseudorandom number generators. The outputs of such generators may

Calibrating an Active Network Node

September 1, 2000
Author(s)
Y Carlinet, V Galtier, Kevin L. Mills, Stefan D. Leigh, Andrew L. Rukhin
tive Network technology envisions deployment of virtual execution environments within network elements, so that nonhomogeneous processing can be applied to network traffic. For management purposes, each node must have a meaningful understanding of resource
Was this page helpful?