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Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces

Johnsen, Jan William; Franke, Katrin
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2593268
Date
2018
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  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [1563]
  • Publikasjoner fra CRIStin - NTNU [19793]
Original version
Lecture Notes in Computer Science. 2018, 10862 LNCS 379-386.   10.1007/978-3-319-93713-7_31
Abstract
Traditional organised criminal groups are becoming more active in the cyber domain. They form online communities and use these as marketplaces for illegal materials, products and services, which drives the Crime as a Service business model. The challenge for law enforcement of investigating and disrupting the underground marketplaces is to know which individuals to focus effort on. Because taking down a few high impact individuals can have more effect on disrupting the criminal services provided. This paper present our study on social network centrality measures’ performance for identifying important individuals in two networks. We focus our analysis on two distinctly different network structures: Enron and Nulled.IO. The first resembles an organised criminal group, while the latter is a more loosely structured hacker forum. Our result show that centrality measures favour individuals with more communication rather than individuals usually considered more important: organised crime leaders and cyber criminals who sell illegal materials, products and services.
Publisher
Springer Verlag
Journal
Lecture Notes in Computer Science

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