activity
20172020
most citedSoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation

90 citations · 210 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2020★ 90 cited

SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation

Xiaoyu Du, Chris Hargreaves, John Sheppard +4

Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of case…

cs.CR2020★ 12 cited

Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events

Xiaoyu Du, Quan Le, Mark Scanlon

Case-hindering, multi-year digital forensic evidence backlogs have become commonplace in law enforcement agencies throughout the world. This is due to an ever-growing number of cas…

cs.CR2019★ 21 cited

Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts

Xiaoyu Du, Mark Scanlon

The ever increasing volume of data in digital forensic investigation is one of the most discussed challenges in the field. Usually, most of the file artefacts on seized devices are…

cs.CR2017★ 54 cited

Evaluation of Digital Forensic Process Models with Respect to Digital Forensics as a Service

Xiaoyu Du, Nhien-An Le-Khac, Mark Scanlon

Digital forensic science is very much still in its infancy, but is becoming increasingly invaluable to investigators. A popular area for research is seeking a standard methodology…

cs.CR2017★ 33 cited

EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution

Mark Scanlon, Xiaoyu Du, David Lillis

Education and training in digital forensics requires a variety of suitable challenge corpora containing realistic features including regular wear-and-tear, background noise, and th…