Toward music-based data discrimination for cybercrime investigations

Weir, George R S and Rossi, Gerry; Weir, George R. S., ed. (2011) Toward music-based data discrimination for cybercrime investigations. In: Cyberforensics. University of Strathclyde, GBR, pp. 229-234. ISBN 9780947649784

Preview

Text (Weir-Rossi-Cyberforensics2011-Music-based-data-discrimination-for cybercrime-investigations)
Weir_Rossi_Cyberforensics2011_Music_based_data_discrimination_for_cybercrime_investigations.pdf
Accepted Author Manuscript
Download (45kB)| Preview

Abstract

In this paper we describe an approach to data interpretation in which ‘raw’ data is analysed quantitatively in terms of textual content and the results of this analysis ‘converted’ to music. The purpose of this work is to investigate the viability of projecting complex text-based data, via textual analysis, to a musical rendering as a means for discriminating data sets ‘by ear’. This has the potential of allowing non-domain experts to make distinctions between sets of data based upon their listening skills. We present this work as a research agenda, since it is based upon earlier exploration of the underlying concept of mapping textual analyses to music, and explore possible areas of application in the domains of information security and digital forensics.

Creators(s):	Weir, George R S ORCID: https://orcid.org/0000-0002-6264-4480 and Rossi, Gerry; Weir, George R. S.
Item type:	Book Section
ID code:	56813
Keywords:	data interpretation, textual analysis, musical mapping, cybercrime, digital forensics, information security, Electronic computers. Computer science, Computer Science Applications
Subjects:	Science > Mathematics > Electronic computers. Computer science
Department:	Faculty of Science > Computer and Information Sciences
Depositing user:	Pure Administrator
Date deposited:	01 Jul 2016 14:07
Last modified:	13 Aug 2020 05:03
URI:	https://strathprints.strath.ac.uk/id/eprint/56813
Export data:

CORE (COnnecting REpositories)