University of Hertfordshire

Documents

  • Joseph Williams
  • Paul Stephens
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Original languageEnglish
DOIs
Publication statusPublished - 7 Jul 2020
Event14th International Symposium on Human Aspects of Information Security & Assurance - Online, Greece
Duration: 7 Jul 202010 Jul 2020
https://www.haisa.org/HAISA%20Programme%202020.pdf

Conference

Conference14th International Symposium on Human Aspects of Information Security & Assurance
Abbreviated titleHAISA 2020
CountryGreece
Period7/07/2010/07/20
Internet address

Abstract

Internet Intelligence and Investigations (i3) are a fundamental investigative tool of the modern law enforcement official (LEO) in an always-connected online era. Ensuring LEOs follow good procedure for such investigations is critical for both law enforcement and society, as it ensures consistency, rigor and transparency.

Procedural issues lie with online evidential capture, however. For example, it is not feasible to directly apply digital evidence methodologies one would for ‘offline’ digital forensics; instead, one must apply best practices and a consistent ap-proach. How those best practices and consistent approaches apply will typically fall to individual forces. One such tool in the arsenal of law enforcement is the ‘Open Source Internet Research Tool’ (OSIRT), a free all-in-one browser that assists law enforcement in conducting i3 in a standardized manner.

This paper analyses and discusses the results of 32 questionnaire responses from serving LEOs in the UK and their use of OSIRT. Results showed that LEOs found OSIRT to be helpful to them and compared to their previous method of conducting online investigations, OSIRT offered an improved system to conduct online investigations in many instances.

Notes

© 2020 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

ID: 22308107