Measuring the effectiveness of keyword lists in digital forensics

Aikaterini Kanta*, Christopher Hargreaves

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Keyword searching is fundamental to digital forensics and therefore there is a clear need to validate results. This paper demonstrates an approach that can be used to measure the effectiveness of generic wordlists used for specific crime types (e.g. drugs, child abuse, terrorism) that complement specific keywords chosen for individual cases. This approach allows measurement of error associated with this use of case-type based wordlists, and facilitates development of a new research area in digital forensics: optimising keyword lists. The paper demonstrates this experimentally and shows that this important technique can now be evaluated in a scientific manner and concludes with a proposed implementation for deploying this within a forensic lab.

Original languageEnglish
Title of host publicationAvailability, Reliability and Security - ARES 2025 International Workshops, Proceedings
EditorsBart Coppens, Bruno Volckaert, Bjorn De Sutter, Vincent Naessens
PublisherSpringer Nature
Pages42-59
Number of pages18
ISBN (Electronic)9783032006356
ISBN (Print)9783032006370
DOIs
Publication statusPublished - 9 Aug 2025
EventInternational Workshops on Availability, Reliability and Security, held under the umbrella of the 20th International conference on Availability, Reliability and Security, ARES 2025 - Ghent, Belgium
Duration: 11 Aug 202514 Aug 2025

Publication series

NameLecture Notes in Computer Science
Volume15996 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshops on Availability, Reliability and Security, held under the umbrella of the 20th International conference on Availability, Reliability and Security, ARES 2025
Country/TerritoryBelgium
CityGhent
Period11/08/2514/08/25

Keywords

  • Datasets
  • Digital Forensic Science
  • Digital Forensics
  • Error Rates
  • Keyword Lists
  • Keyword Searching
  • Validation

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