Zoekresultaten

Familial concentration of crime in a digital era

ENGLISH: A vast and growing body of research has shown that crime tends to run in families. However, previous studies focused only on traditional crimes and research on familial risk factors for cyber offending is very scarce. To address this gap in the literature, the present study examines the criminal behavior of the family members of a sample of cyber offenders prosecuted in the Netherlands. The sample consists of 979 cyber offenders prosecuted for computer trespassing between 2001 and 2018, and two matched groups of 979 traditional offenders and 979 non-offenders. Judicial information and kinship data from Dutch Statistics were used to measure criminal behavior among family members. Both traditional offenders and cyber offenders were found to be more likely to have criminal fathers, mothers, and siblings than non-offenders. Additional analyses, however, showed different patterns between cyber offenders who were only prosecuted for cyber offenses and those who also committed traditional crimes. While the former group of cyber offenders were similar to non-offenders in terms of family offending, the latter group of cyber offenders were more similar to traditional offenders. Overall, these results suggest that the traditional mechanisms of intergenerational transmission of crime can only partially explain cybercrime involvement. NEDERLANDS: Uit een groot en groeiend aantal onderzoeken blijkt dat criminaliteit vaak in families voorkomt. Eerdere studies richtten zich echter alleen op traditionele misdrijven en onderzoek naar familiaire risicofactoren voor cybercriminaliteit is zeer schaars. Om deze leemte in de literatuur op te vullen, onderzoekt deze studie het criminele gedrag van familieleden van een steekproef van cyberdelinquenten die in Nederland worden vervolgd. De steekproef bestaat uit 979 cyberdelinquenten die tussen 2001 en 2018 zijn vervolgd voor computervredebreuk, en twee gematchte groepen van 979 traditionele delinquenten en 979 niet-delinquenten. Justitiële informatie en verwantschapsgegevens van het Centraal Bureau voor de Statistiek werden gebruikt om crimineel gedrag onder familieleden te meten. Zowel traditionele daders als cybercriminelen bleken vaker criminele vaders, moeders en broers en zussen te hebben dan niet-daders. Aanvullende analyses lieten echter verschillende patronen zien tussen cyberdelinquenten die alleen werden vervolgd voor cyberdelicten en degenen die ook traditionele delicten pleegden. Terwijl de eerste groep cyberdelinquenten vergelijkbaar was met niet-delinquenten wat betreft gezinsdelinquentie, leek de tweede groep cyberdelinquenten meer op traditionele delinquenten. In het algemeen suggereren deze resultaten dat de traditionele mechanismen van intergenerationele overdracht van criminaliteit de betrokkenheid bij cybercriminaliteit slechts gedeeltelijk kunnen verklaren.

Stolen data markets on Telegram: a crime script analysis and situational crime prevention measures

Illicit data markets have emerged on Telegram, a popular online instant messaging application, bringing together thousands of users worldwide in an unregulated exchange of sensitive data. These markets operate through vendors who offer enormous quantities of such data, from personally identifiable information to financial data, while potential customers bid for these valuable assets. This study describes how Telegram data markets operate and discusses what interventions could be used to disrupt them. Using crime script analysis, we observed 16 Telegram meeting places encompassing public and private channels and groups. We obtained information about how the different meeting places function, what are their inside rules, and what tactics are employed by users to advertise and trade data. Based on the crime script, we suggest four feasible situational crime prevention measures to help disrupt these markets. These include taking down the marketplaces, reporting them, spamming and flooding techniques, and using warning banners. This is a post-peer-review, pre-copyedit version of an article published in Trends in organized crime . The final authenticated version is available online at https://doi.org/10.1007/s12117-024-09532-6

Integrating data, knowledge, and expertise for policy advice: understanding the practices of Dutch organized crime control professionals

Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.

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The Fear Drop

Although many countries have shown a distinct drop in crime over the last decades, the criminological literature suggests that fear of crime in those countries remained relatively stable. Research on this issue is sparse however, mostly confined to a single country, a few indicators and/or a relatively short timeframe. For this chapter 1,100 data series on fear of crime related items from (supra)national surveys were collected, covering 121 countries and more than 25 years (1989-2015). Using these data, a first prototype for an International Fear of Crime Trend Index was developed. Used on the five UN-regions with the highest average amount of data series per country, the index shows a pronounced fear drop in four of the five regions: all of them in Europe and the Anglo-Saxon countries. Explanations for these fear drops are hypothesized and directions for further research are formulated.

Pathways Into, Desistance From, and Risk Factors Related to Cyber-Dependent Crime: A Systematic Narrative Review

Cyber-dependent crime is a growing global threat. However, research on cybercrime offending throughout the life course, especially on the factors leading to initiation and desistance of cyber-dependent crime remains underdeveloped. This paper synthesizes the literature on pathways into, desistance from, and risk factors related to cyber-dependent crime (hacking, malware, and DDoS attacks), and identifies research gaps. Following PRISMA-ScR guidelines, we conducted a systematic search and identified 86 eligible documents published as of February 2022. Results reveal a pathway into hacking through interest in technology and online videogames, which continues with social learning from peers involved in hacking activities, and thus leads to the world of cybercrime. Desistance from this pathway is influenced by a cost-benefit analysis and maturing. We also identified 27 risk factors for the initiation process in cyber-offending that are consistent in the literature. The most significant ones were being young, male, having low self-control, deviant peers, and frequently using the Internet. This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI