Computer Forensics using Bayesian Network: A Case Study

作者: Michael Y. K. Kwan , Pierre K. Y. Lai , K. P. Chow , Frank Y. W. Law

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摘要: Like the traditional forensics, computer forensics involves formulation of hypotheses grounding on available evidence or facts. Though digital has been statutory witnesses for a span time, it is controversial issue that conclusions drawn from revealed are subjective views without scientific justifications. There an escalating perception just conclusion professionals. The purpose this paper to present reasoning model based probability distribution in Bayesian Network. By setting out distributions over analyses, we hope quantify evidential strengths such hypotheses, and thereby enhance reliability traceability analytical results examinations. To study validity proposed model, real court case about BT technology fitted calculations. In order detach views, survey was carried collect expertise 31 experienced law enforcement agencies. Their responses were aggregated generate some more objective assignments prior probabilities be used. outcome demonstrates high propagated 92.7%, which accordance with actual verdict guilty. That presents science quantifiable analyses.

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