The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach

2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)(2021)

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摘要
In this paper, the notion of anomaly detection is introduced for the first time in the area of darknet markets (DNMs). Our hypothesis is that like popular social media platforms DNMs also exhibit anomalous behaviour. However, we propose that the meaning of anomalies in DNMs differs from social media anomalies. The social media anomalies are a cause of threat to the real world, while DNM anomalies a...
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关键词
Analytical models,Social networking (online),Law enforcement,Ecosystems,Evolutionary computation,Anomaly detection,Unsupervised learning
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