SIMBox fraud: How well can they mimic your communication behavior?
Résumé
Being one of the most prevalent scams in cellular networks, SIMBox fraud causes a significant financial loss, national security threats, and phone conversation privacy breaches. Yet, SIMBox fraud is still an open issue being little addressed and hardly detected by operators due to: (c1) the scarcity of groundtruth fraudulent datasets and (c2) the constant evolution of fraudulent strategies aiming to disguise by mimicking legitimate communication behaviors. This paper introduces the FraudZen framework to tackle (c1) by generating mobile communication datasets (i.e., Charging Data Records/ CDRs) with realistic fraudulent ground truth. Such CDRs are associated with explicit knowledge of a fraud model, thus filling the gap for tackling challenge (c2). Through FraudZen, we show fraudsters can mimic legitimate communication behaviors from literature almost perfectly, raising the need to advance current detection.
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