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Graeme Horsman
Researcher at Teesside University
Publications - 79
Citations - 704
Graeme Horsman is an academic researcher from Teesside University. The author has contributed to research in topics: Digital forensics & Computer science. The author has an hindex of 11, co-authored 64 publications receiving 411 citations. Previous affiliations of Graeme Horsman include University of Sunderland & Northumbria University.
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Unmanned aerial vehicles
TL;DR: Results showed the ability to recover flight data from both the unmanned aerial vehicle and controller handsets along with captured media, however problems exist with establishing the definitive owner of the device, particularly if a user had abandoned it at the scene of a crime.
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Tool testing and reliability issues in the field of digital forensics
TL;DR: The current state of digital forensic tool- Testing in 2018 is examined along with the difficulties of sufficiently testing applications for use in this discipline, providing an insight into industry consensus surrounding tool-testing and reliability.
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Let the robots do it! – Taking a look at Robotic Process Automation and its potential application in digital forensics
Alisha Asquith,Graeme Horsman +1 more
TL;DR: This work provides an introductory discussion to Robotic Process Automation, a form of service task automation, and an objective evaluation is offered, debating whether technology has a place in improving efficiency in this field.
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A case-based reasoning method for locating evidence during digital forensic device triage
TL;DR: 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.
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Framework for Reliable Experimental Design (FRED):: A research framework to ensure the dependable interpretation of digital data for digital forensics
TL;DR: The Framework for Reliable Experimental Design (FRED) is proposed, designed to be a resource for those operating within the digital forensic field, both in industry and academia, to support and develop research best practice within the discipline.