Network Anomaly Detection: Comparison and Real-Time Issues

نویسندگان

  • Václav Bartos
  • Martin Zádník
چکیده

This paper discusses several issues of evaluation and comparison of anomaly detection algorithms, namely lack of publicly available implementations and annotated data sets. Another problem of many methods is a detection delay caused by operating on data binned to a long time intervals. The paper presents a library under development which aims to tackle the comparison and evaluation issues. Further, the paper proposes a novel anomaly detection approach that can contribute to anomaly detection in real-time.

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تاریخ انتشار 2012