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Anomaly detection based on user mobility patterns
Project Summary: The goal of this research is to identify anomalies automatically, based on user mobility patterns. By monitoring the time spent at various access points, we identify abnormal mobility patterns. We also provide a web-based tool for analyzing the mobility patterns. This tool visualizes the mobility patterns on geographical maps and allows an in-depth understanding of the abnormal mobility patterns detected by our anomaly detection mechanism.
Project Lead:
Dr. Minkyong Kim
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