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Search Publications by: Douglas R. White (Fed)

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Displaying 1 - 14 of 14

Digital Evidence Preservation: Considerations for Evidence Handlers

September 8, 2022
Author(s)
Barbara Guttman, Douglas R. White, Shannan Williams, Tracy Walraven
The preservation of digital evidence (DE) presents unique problems beyond traditional evidence preservation. This document addresses considerations related to the preservation of digital evidence. This document is part of a series on evidence management

Inferring previously uninstalled applications from digital traces

May 25, 2017
Author(s)
Jim Jones, Tahir Kahn, Kathryn B. Laskey, Alexander J. Nelson, Mary T. Laamanen, Douglas R. White
In this paper, we present an approach and experimental results to suggest the past presence of an application after the application has been uninstalled and the system has remained in use. Current techniques rely on the recovery of intact artifacts and

Approximate Matching: Definition and Terminology

July 2, 2014
Author(s)
Frank Breitinger, Barbara Guttman, Michael McCarrin, Vassil Roussev, Douglas R. White
This document provides a definition of and terminology for approximate matching. Approximate matching is a promising technology designed to identify similarities between two digital artifacts. It is used to find objects that resemble each other or to find

Digital Forensics at the National Institute of Standards and Technology

April 9, 2008
Author(s)
James R. Lyle, Douglas R. White, Richard P. Ayers
There are three digital forensic science projects: National Software Reference Library (NSRL), Computer Forensic Tool Testing (CFTT), Computer Forensic Reference Data Sets (CFReDS) currently providing resources for the digital investigator underway at the

Digital Forensics at the National Institute of Standards and Technology

April 1, 2008
Author(s)
James R. Lyle, Douglas R. White, Richard Ayers
There are three digital forensic science projects: National Software Reference Library (NSRL), Computer Forensic Tool Testing (CFTT), Computer Forensic Reference Data Sets (CFReDS) currently providing resources for the digital investigator underway at the

A Perl-Based Framework For Distributed Processing

December 1, 2004
Author(s)
Douglas R. White, John M. Tebbutt
The National Software Reference Library (NSRL) of the U.S. National Institute of Standards and Technology (NIST) collects software from various sources and publishes file profiles computed from this software (such as MD5 and SHA-1 hashes) as a Reference

A Perl-Based Framework for Distributed Processing

December 1, 2004
Author(s)
Douglas R. White, John M. Tebbutt
Our results extending Kuhn's fault class hierarchy provide a justification for the focus of fault-based testing strategies on detecting particular faults and ignoring others. We develop a novel analytical technique that allows us to elegantly prove that

Digital Forensics Using Hashsets - NRSL

December 1, 2004
Author(s)
Douglas R. White
Our results extending Kuhn's fault class hierarchy provide a justification for the focus of fault-based testing strategies on detecting particular faults and ignoring others. We develop a novel analytical technique that allows us to elegantly prove that

Report to U.S. Election Assistance Commission

July 1, 2004
Author(s)
Douglas R. White
Our results extending Kuhn's fault class hierarchy provide a justification for the focus of fault-based testing strategies on detecting particular faults and ignoring others. We develop a novel analytical technique that allows us to elegantly prove that

Digital Forensics - Using Perl to Harvest Hash Sets

June 1, 2004
Author(s)
Douglas R. White, John M. Tebbutt
Our results extending Kuhn's fault class hierarchy provide a justification for the focus of fault-based testing strategies on detecting particular faults and ignoring others. We develop a novel analytical technique that allows us to elegantly prove that

Digital Forensics ? Using Perl to Harvest Hash Sets

June 1, 2004
Author(s)
Douglas R. White, John M. Tebbutt
Our results extending Kuhn's fault class hierarchy provide a justification for the focus of fault-based testing strategies on detecting particular faults and ignoring others. We develop a novel analytical technique that allows us to elegantly prove that