Using Distinctive Digital Traces To Evaluate Non-Obvious Links And Repetitions

Timothy Bollé discusses his research at DFRWS EU 2018.

Timothy: Hello. I am Timothy Bollé. I am currently doing my PhD at the School of Criminal Justice in the University of Lausanne, with Professor Eoghan Casey. And I’m going to discuss the usage of computed similarity of distinctive digital traces to evaluate non-obvious links and repetitions in cyber-investigations.

Just as a quick introduction: The online crimes are repetitive by nature, because there is a lot of victims to reach and because there is a low risk of being identified or apprehended. This repetition can be found as crime series, so it will be the same offender or same group of offenders that will commit multiple crimes. Or, as crime patterns, like hotspots or repeated victimization. To find this repetition, we can use forensic data, like traces, and also, more situational information, like modus operandi description or spatiotemporal information.

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