EviPlant: An Efficient Digital Forensic Challenge Creation, Manipulation, and Distribution Solution

Files in This Item:
File Description SizeFormat 
EviPlant.pdf724.94 kBAdobe PDFDownload
Title: EviPlant: An Efficient Digital Forensic Challenge Creation, Manipulation, and Distribution Solution
Authors: Scanlon, Mark
Du, Xiaoyu
Lillis, David
Permanent link: http://hdl.handle.net/10197/9134
Date: 21-Mar-2017
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 behalf 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 resources and time 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 to current approaches. EviPlant is a system designed for the efficient creation, manipulation, storage and distribution of challenges for digital forensics education and training. The system relies on the initial distribution of base disk images, i.e., images containing solely bare operating systems. In order to create challenges for students, educators can boot the base system, emulate the desired activity and perform a diffing of resultant image and the base image. This diffing process extracts the modified artefacts and associated metadata and stores them in an evidence package. Evidence packages can be created for different personas, different wear-and-tear, different emulated crimes, etc., and multiple evidence packages can be distributed to students and integrated with the base images. A number of advantages and additional functionality over the current approaches are discussed that emerge as a result of using EviPlant.
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2017 the Authors
Keywords: Digital forensics education;Evidence planting;Tool testing;Tool validation
DOI: 10.1016/j.diin.2017.01.010
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection

Show full item record

Download(s) 50

checked on May 25, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.