University of Hertfordshire

Creating and integrating a FLOSS product into UK law enforcement

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

  • Joseph Williams
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Original languageEnglish
Title of host publicationOpen Source Systems
Subtitle of host publicationEnterprise Software and Solutions - 14th IFIP WG 2.13 International Conference, OSS 2018,Proceedings
EditorsIoannis Stamelos, Jesus M. Gonzalez-Barahoña, Iraklis Varlamis, Dimosthenis Anagnostopoulos
PublisherSpringer New York LLC
Pages117-127
Number of pages11
ISBN (Print)9783319923741
DOIs
Publication statusE-pub ahead of print - 16 Jun 2018
Event14th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2018 - Athens, Greece
Duration: 8 Jun 201810 Jun 2018

Publication series

NameIFIP Advances in Information and Communication Technology
Volume525
ISSN (Print)1868-4238

Conference

Conference14th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2018
CountryGreece
CityAthens
Period8/06/1810/06/18

Abstract

Open Source Internet Research Tool (OSIRT) is a free and open source software tool that enables law enforcement officials to conduct online research and obtain artefacts in an evidential and lawful manner. Over the past three years, OSIRT has seen growth from a handful of users within UK law enforcement, to a reach that extends to countries across the globe which also sees usage outside of law enforcement and beyond its original scope. This paper will reflect upon OSIRT’s development, and discusses issues surrounding the development of a FLOSS product for UK law enforcement. With cuts to budgets being made to law enforcement services, FLOSS software like OSIRT has an opportunity to flourish in this sector. To establish OSIRT’s and FLOSS’ integration into UK law enforcement, interviews, a small case study and questionnaires were conducted with serving police officers, police trainers and an IT administrator; all have experience with OSIRT.

Notes

© IFIP International Federation for Information Processing 2018

ID: 16355865