Prof Bill Buchanan B.Buchanan@napier.ac.uk
Professor
Method for identification of digital content
Buchanan, Bill; Lo, Owen; Penrose, Phil; Ramsay, Bruce; Macfarlane, Richard
Authors
Dr Owen Lo O.Lo@napier.ac.uk
Senior Research Fellow
Phil Penrose
Bruce Ramsay
Rich Macfarlane R.Macfarlane@napier.ac.uk
Associate Professor
Abstract
Many areas oi investigation require searching through data that may be oi interest. One example oi data that may be involved in an investigation is copyrighted material that may be suspected of having been obtained or reproduced illegally by a third party. Another example of data may be confidential files belonging to a first entity that may be suspected of having been obtained illegally by another entity, thereby necessitating that the location of such files be detected.
Citation
Buchanan, B., Lo, O., Penrose, P., Ramsay, B., & Macfarlane, R. (2018). Method for identification of digital content. World Intellectual Property Organization
Publication Date | Oct 10, 2018 |
---|---|
Deposit Date | Mar 20, 2019 |
Keywords | digital forensics, |
Public URL | http://researchrepository.napier.ac.uk/Output/1673850 |
You might also like
E-Health: chances and challenges of distributed, service oriented architectures
(2012)
Journal Article
Formal security policy implementations in network firewalls.
(2011)
Journal Article
Who would you trust to identify you in accessing your health record?
(-0001)
Presentation / Conference Contribution
A scaleable and trusted e-Health eco-system: safi.re
(2013)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search