Cybercriminal decision-making

Existing theories assume that offenders make rational decisions, but these theories have rarely been tested experimentally. This project uses ‘honey accounts’, online accounts that have deliberately been rendered vulnerable to hacking, to allow an experimental investigation of cybercriminals’ behavior. The research offers unique opportunities for conducting a stringent test of existing criminology theories on offenders’ decision-making behavior. This study of offender behavior will broaden our understanding of cybercrime, as previous research has tended to focus on victims and security.

Trust on the Dark Web

Why would anyone engage in risky business with a total stranger? In this project, we analyze how criminals cooperate on Dark Web markets and forums. We use rational choice and game theoretical explanations of individual trust and study effects of reputation, information diffusion and rule enforcement on exchanges in Dark Web criminal networks. We use text mining techniques, discrete choice modeling, and advanced social network analysis on unique longitudinal data of online exchanges on the Dark Web.