A Generic Bayesian Belief Model for Similar Cyber Crimes
作者： Hayson Tse , Kam-Pui Chow , Michael Kwan
DOI: 10.1007/978-3-642-41148-9_17
关键词:
摘要: Bayesian belief network models designed for specific cyber crimes can be used to quickly collect and identify suspicious data that warrants further investigation. While tailored individual cases exist, there has been no consideration of generalized case modeling. This paper examines the generalizability two case-specific networks use in similar cases. Although results are not conclusive, changes degrees support hypothesis generic enhance investigations crimes.
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