Research Area: Digital Forensics
A major challenge to digital forensic analysis is the ongoing growth in the volume of data seized and presented for analysis. This is a result of the continuing development of storage technology, including increased storage capacity in consumer devices and cloud storage services, and an increase in the number of devices seized per case. Consequently, this has led to increasing backlogs of evidence awaiting analysis, often many months to years, affecting even the largest digital forensic laboratories. Over the preceding years, there has been a variety of research undertaken in relation to the volume challenge. Solutions posed range from data mining, data reduction, increased processing power, distributed processing, artificial intelligence, and other innovative methods. This paper surveys the published research and the proposed solutions. It is concluded that there remains a need for further research with a focus on real world applicability of a method or methods to address the digital forensic data volume challenge.
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Author(s) Name: Darren Quick, Kim Kwang Raymond Choo
Journal name: Digital Investigation
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Publisher name: ELSEVIER
DOI: 10.1016/j.diin.2014.09.002
Volume Information: Volume 11, Issue 4, December 2014, Pages 273-294
