传统犯罪有多“数字化”?

Lorena Montoya, M. Junger, P. Hartel
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引用次数: 14

摘要

衡量网络犯罪的存在程度,通常是先定义网络犯罪,然后量化有多少案件符合这个定义。缺点是不同国家的定义不同,许多网络犯罪被记录为传统犯罪。另一种选择是保留传统的犯罪定义,并量化每种犯罪所包含的相关信息和通信技术(ICT)的数量。这项研究确定了a)在“犯罪脚本”的三个阶段(即:(“之前”,“期间”和“之后”),b)在刑事调查期间,c)在逮捕嫌疑人期间,以及d)数字犯罪与传统犯罪在受害者与罪犯之间的关系或他们之间的物理距离方面是否不同。调查了住宅和商业入室盗窃、威胁和欺诈,并研究了东荷兰警察局的809起事件。研究发现,信息通信技术对所有类型的犯罪的影响并不相同:16%的威胁和41%的欺诈都部分采用了数字手法。然而,罪犯很少使用信息通信技术进行盗窃。然而,在2.9%的住宅盗窃案中,银行卡被盗,随后被用来从银行账户中窃取资金。对于商业盗窃,没有相关的信息通信技术。数字犯罪与传统犯罪有很多不同之处:受害者和罪犯之间的地理距离更大,前合作伙伴之间的数字威胁相对更频繁,与传统欺诈相比,商业伙伴之间的数字欺诈更频繁。研究发现,与数字工具相比,物理工具更容易让人感到恐惧。然而,回归模型显示,数字和物理工具在预测恐惧方面同样强大。主要研究结果表明,信息通信技术在传统犯罪中的作用比以往研究所预期的要大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How "Digital" is Traditional Crime?
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.
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