EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution
Mark Scanlon, Xiaoyu Du, David Lillis

TL;DR
EviPlant is a system that streamlines the creation, manipulation, and distribution of realistic digital forensics challenges by using diffing of base images and evidence packages, reducing effort and resources.
Contribution
The paper introduces EviPlant, a novel system that simplifies digital forensic challenge creation and distribution through diffing techniques and modular evidence packages.
Findings
Reduces time and effort in creating forensic challenges
Enables easy distribution and customization of challenges
Supports various forensic training and testing scenarios
Abstract
Education and training in digital forensics requires a variety of suitable challenge corpora containing realistic features including regular wear-and-tear, background noise, and the actual digital traces to be discovered during investigation. Typically, the creation of these challenges requires overly arduous effort on the part of the educator to ensure their viability. Once created, the challenge image needs to be stored and distributed to a class for practical training. This storage and distribution step requires significant time and resources and may not even be possible in an online/distance learning scenario due to the data sizes involved. As part of this paper, we introduce a more capable methodology and system as an alternative to current approaches. EviPlant is a system designed for the efficient creation, manipulation, storage and distribution of challenges for digital…
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