Detecting Anomalies in User Communication in an E-commerce Application : Applying a Clustering Algorithm to VectorizedText Messages
Many applications that allow text based communication between users are troubled with malicious content. This thesis presents a system for detecting such behaviour in an E-commerce application. The system is based on an algorithm for anomaly detection which is trained using messages sent between use...
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Format: | Others |
Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2019
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395255 |