On the Benefits of Information Retrieval and Information Extraction Techniques Applied to Digital Forensics

Lillis, David; Scanlon, Mark

Publication Date:  April 2016

Publication Name:  Advanced Multimedia and Ubiquitous Engineering: FutureTech & MUE

Abstract:   Many jurisdictions suffer from lengthy backlogs in digital forensics investigations. This has negative consequences for the timely incorporation of digital evidence into criminal investigations, while also affecting the timelines required to bring a case to court. Modern technological advances, in particular the move towards cloud computing, has great potential in expediting the automated processing of digital evidence, thus reducing the manual workload for investigators. It also promises to provide a platform upon which more sophisticated automated techniques may be employed to improve the process further. This paper identifies some research strains from the areas of Information Retrieval and Information Extraction that have the potential to greatly help with the efficiency and effectiveness of digital forensics investigations.

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BibTeX Entry:


      @Inbook{lillis2016benefits,
author="Lillis, David and Scanlon, Mark",
editor="Park, James J. (Jong Hyuk) and Jin, Hai and Jeong, Young-Sik and Khan, Khurram Muhammad",
title="On the Benefits of Information Retrieval and Information Extraction Techniques Applied to Digital Forensics",
booktitle="Advanced Multimedia and Ubiquitous Engineering: FutureTech {\&} MUE",
year="2016",
month="04",
publisher="Springer Singapore",
address="Singapore",
pages="641--647",
isbn="978-981-10-1536-6",
doi="10.1007/978-981-10-1536-6_83",
url="http://dx.doi.org/10.1007/978-981-10-1536-6_83",
abstract="Many jurisdictions suffer from lengthy backlogs in digital forensics investigations. This has negative consequences for the timely incorporation of digital evidence into criminal investigations, while also affecting the timelines required to bring a case to court. Modern technological advances, in particular the move towards cloud computing, has great potential in expediting the automated processing of digital evidence, thus reducing the manual workload for investigators. It also promises to provide a platform upon which more sophisticated automated techniques may be employed to improve the process further. This paper identifies some research strains from the areas of Information Retrieval and Information Extraction that have the potential to greatly help with the efficiency and effectiveness of digital forensics investigations."
}