ConceptioArchiveNIST
NISTpublic full text

NIST SP 800-168: Approximate Matching: Definition and Terminology

Frank Breitinger (University of New Haven); Douglas White (NIST); Barbara Guttman (NIST); Michael McCarrin (NPS); Vassil Roussev (UNO) · National Institute of Standards and Technology (NIST)
NIST · Standards · License: Public Domain
Open Source ↗
accesscontrolcomputersecurityidentityincidentresponsenistriskmanagement
cybersecurity, computer security, cryptography, access control, incident response, privacy, identity, risk management, NIST

You are viewing this page in an unauthorized frame window. This is a potential security issue, you are being redirected to https://csrc.nist.gov . An official website of the United States government Here’s how you know Here’s how you know Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ( Lock Locked padlock icon ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Search Search CSRC MENU Search Search Projects Publications Expand or Collapse Drafts for Public Comment All Public Drafts Final Pubs FIPS (standards) Special Publications (SP s ) IR (interagency/internal reports) CSWP (cybersecurity white papers) ITL Bulletins Project Descriptions Journal Articles Conference Papers Books Topics Expand or Collapse Security & Privacy Applications Technologies Sectors Laws & Regulations Activities & Products News & Updates Events Glossary About CSRC Expand or Collapse Computer Security Division Cryptographic Technology Software Security Group Hardware Security Group Security Engineering and Risk Management Applied Cybersecurity Division Cybersecurity and Privacy Applications National Cybersecurity Center of Excellence (NCCoE) National Initiative for Cybersecurity Education (NICE) Contact Us Information Technology Laboratory Computer Security Resource Center Publications NIST SP 800-168 Approximate Matching: Definition and Terminology Share to Facebook Share to X Share to LinkedIn Share ia Email Documentation Topics Date Published: May 2014 Author(s) Frank Breitinger (University of New Haven) , Douglas White (NIST) , Barbara Guttman (NIST) , Michael McCarrin (NPS) , Vassil Roussev (UNO) Abstract Approximate matching is a promising technology for designed to identify similarities between two digital artifacts. It is used to find objects that resemble each other or to find objects that are contained in another object. This can be very useful for filtering data for security monitoring, digital forensics, or other applications. Approximate matching is a promising technology for designed to identify similarities between two digital artifacts. It is used to find objects that resemble each other or to find objects that are contained in another object. This can be very useful for filtering data for security monitoring, digital... See full abstract Approximate matching is a promising technology for designed to identify similarities between two digital artifacts. It is used to find objects that resemble each other or to find objects that are contained in another object. This can be very useful for filtering data for security monitoring, digital forensics, or other applications. Hide full abstract Keywords approximate matching ; digital forensics Control Families None selected Documentation Publication: https://doi.org/10.6028/NIST.SP.800-168 Download URL Supplemental Material: None available Document History: 07/02/14: SP 800-168 (Final) Topics Applications forensics HEADQUARTERS 100 Bureau Drive Gaithersburg, MD 20899 X (link is external) facebook (link is external) linkedin (link is external) instagram (link is external) youtube (link is external) rss govdelivery (link is external) Want updates about CSRC and our publications? Subscribe Contact Us | Our Other Offices Send inquiries to [email protected] Site Privacy Accessibility Privacy Program Copyrights Vulnerability Disclosure No Fear Act Policy FOIA Environmental Policy Scientific Integrity Information Quality Standards Commerce.gov Science.gov USA.gov Vote.gov

Related documents

Record · ID 2917 · SHA-256 58d2d94468852b89
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.