Preventing Crime Online: A Social Network Based Analysis Of A Carding Forum

Over the past few years, researchers have described the constant growth of a complex virtual criminal underworld where personal and financial data is bought and sold. These transactions often occur in online chat rooms or in discussion forums where individuals post what they want or need and wait for other possible business partners to answer. The threat that such illicit markets pose has been described numerous times. These include the increased access to stolen data, the lowering of the barriers to entry for this type of delinquency and the internalization of this form of delinquency. To prevent and control the growth of such markets, three approaches have been suggested. The first one involves the use of double agents who would make controlled buys to build cases against specific individuals. The second is a Sybil attack where law-enforcement agencies target the trust and fluidity of markets using fake profiles. To do so, police departments can build up the reputation of these fake profiles and then default on their partners randomly to reduce the general trust in the market. The third and last attack is a slander attack where the reliability and trust of specific market participants is questioned in order, once again, to disrupt the trust in markets.

This presentation seeks to provide law-enforcement agencies with a more detailed cost-benefit analysis of these techniques in order to ease the adoption of such prevention methods. Using social network analysis, the feasibility and cost associated with the implementation of these prevention techniques will be evaluated in the case of a large stolen data forum where financial data is bought and sold online. This presentation will provide the necessary framework that law-enforcement agencies could use to prepare and build their prevention action against market participants.

Ce contenu a été mis à jour le 8 août 2016 à 18 h 00 min.