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Han-Wei Hsiao, Huey-Min Sun and Wei-Cheng Fan Detecting stepping-stone intrusion using association rule mining Security and Communication Networks 6

Version of Record online: 14 MAR 2013 | DOI: 10.1002/sec.692

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A detection method of stepping-stone based on the association rule mining of network traffic records is proposed. Empirical evaluation under 5 min of test records shows that the accuracy rate, the precision rate, and the recall rate are 83.81%, 84.26%, and 83.16%. When the test record gathering time is extended to 20 min, with the same detecting method, the three evaluations achieve 99.9%.

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