Choose Index below for a list of all words and phrases defined in this glossary.

Federal Information Processing Standard (FIPS)

index | Index

Federal Information Processing Standard (FIPS) - definitions

FIPS (Federal Information Processing Standard) - The National Institute for Science and Technology of the USA publish standards for Federal organizations.   These are also generally used by US businesses.   They are not standards in the same way as British Standards Institute (BSI) or American National Standards Institute (ANSI), but nevertheless have a considerable influence on industry and commerce as well as government.   Many of the standard published deal with aspects of computer security, including the use of algorithms and cryptography.

[Category=Geospatial ]

Source: Arctic Soft, 06 August 2011 09:15:10, External

These advertisers support this free service

Federal Information Processing Standards (FIPS) - Processing standards for the federal government are published as Federal Information Processing Standards (FIPS). FIPS - 197 is the Advanced Encryption Standard(AES), for example. FIPS are published by the National Institute of Standards and Technology (NIST). One of their missions is to develop standards for government use when there are requirements that are not met with existing voluntary standards. As standards that are implemented throughout the government, FIPS carry enormous weight in the architecture of civilian systems, too.

The regulations relevant to these activities actually give preference to voluntary standards. Therefore, one of the responsibilities of NIST is to work with various standards committees, users, industry groups and others to get voluntary standards developed in preference to FIPS. In the development of FIPS, NIST uses the Federal Register to announce the proposed standard and then goes through a period of open comment and review before publishing the final standard.

[Category=Geospatial ]

Source: RSA, 15 August 2011 09:37:53, External 

Data Quality Glossary.  A free resource from GRC Data Intelligence. For comments, questions or feedback: