DocumentCode :
2125969
Title :
How "Digital" is Traditional Crime?
Author :
Montoya, Lorena ; Junger, Marianne ; Hartel, Pieter
Author_Institution :
Distrib. & Embedded Security Group, Univ. of Twente, Enschede, Netherlands
fYear :
2013
fDate :
12-14 Aug. 2013
Firstpage :
31
Lastpage :
37
Abstract :
Measuring how much cyber crime exists is typically done by first defining cyber crime and then quantifying how many cases fit that definition. The drawback is that definitions vary across countries and many cyber crimes are recorded as traditional crimes. An alternative is to keep traditional definitions of crime and quantify the amount of associated information and communication technologies (ICT) that each contains. This research established how much ICT was used a) in the three phases of the ´crime script´ (i.e. ´before´, ´during´ and ´after´), b) during the criminal investigation and c) in the apprehension of the suspect(s) and d) whether digital crimes differ from traditional crimes in terms of the relationships between the victim and the offender or in terms of the physical distance between them. Residential and commercial burglary, threats and fraud were investigated and 809 incidents from the Police Department of East Netherlands were studied. It was found that ICT does not affect all types of crime equally: 16% of the threats and 41% of all frauds have partial digital modus operandi (MO). To commit burglaries, however, offenders hardly ever use ICT. In 2.9% of the residential burglaries, however, bank cards were stolen and later used to steal money from a bank account. For commercial burglary there was no associated ICT. Digital crimes differ from traditional crimes in a number of ways: the geographical distance between the victim and the offender is larger, digital threats occur relatively more often between ex-partners and digital frauds occur more often between business partners compared to traditional fraud. The study found that physical tools are more often linked to apprehension than digital ones. The regression models, however, showed digital and physical tools to be equally strong at predicting apprehension. The main findings show that ICT plays a greater role in traditional crime than expected on the basis of previous research.
Keywords :
computer crime; fraud; police data processing; regression analysis; East Netherlands Police Department; ICT; commercial burglary; crime script; criminal investigation; cybercrime; digital crimes; digital frauds; digital threats; information and communication technologies; partial digital modus operandi; physical distance; regression models; residential burglaries; suspects apprehension; traditional crime; victim-offender relationships; Analytical models; Cameras; Computer crime; Computers; Data models; Internet; Predictive models; Cyber crime; Cyber security; burglary; fraud; police; threats;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2013 European
Conference_Location :
Uppsala
Type :
conf
DOI :
10.1109/EISIC.2013.12
Filename :
6657122
Link To Document :
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