A Distributed Triage Model for Digital Forensic Services to State and Local Law Enforcement

Losavio, Michael; Keeling, Deborah; Elmaghraby, Adel

doi:10.1109/sadfe.2009.10

Search citation statements

Order By: Relevance

Paper Sections

Select...

Approaches To Triage1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is little published research in the area of DT and even when techniques are presented their functionality often remains insufficiently tested as they are rarely used in actual DF DT investigations [28]. Commercial applications for DT do exist (e.g., [1,2,19]) but share the same fundamental weaknesses.…”

Section: Approaches To Triagementioning

confidence: 99%

A case-based reasoning method for locating evidence during digital forensic device triage

Horsman

Laing

Vickers

2014

Decision Support Systems

View full text Add to dashboard Cite

The role of triage in digital forensics is disputed, with some practitioners questioning its reliability for identifying evidential data. Although successfully implemented in the field of medicine, triage has not established itself to the same degree in digital forensics. This article presents a novel approach to triage for digital forensics. Case-Based Reasoning Forensic Triager (CBR-FT) is a method for collecting and reusing past digital forensic investigation information in order to highlight likely evidential areas on a suspect operating system, thereby helping an investigator to decide where to search for evidence. The CBR-FT framework is discussed and the results of twenty test triage examinations are presented. CBR-FT has been shown to be a more effective method of triage when compared to a practitioner using a leading commercial application.

show abstract

Section: Approaches To Triagementioning

confidence: 99%