Suspicious Behavior Detection: Current Trends and Future Directions
Meng JiangTsinghua UniversityPeng CuiTsinghua UniversityChristos FaloutsosCarnegie Mellon University
2016en
ABI
Abstract
Different real-world applications have varying definitions of suspicious behaviors. Detection methods often look for the most suspicious parts of the data by optimizing scores, but quantifying the suspiciousness of a behavioral pattern is still an open issue.
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