Darknet monitoring is very important for understanding various botnet activities for early detection and defense the threats on the Internet caused by the botnets. However, common illegal accesses by ordinary malware make such detection difficult. To remove such accesses by ordinary malware from the results of network monitoring, we propose a data screening method based on finding frequent sequential patterns that appear in given traffic data. We applied our method to traffic data observed in the darknet and report the results. © 2012 Springer Science+Business Media, LLC.
CITATION STYLE
Tsuruta, H., Shoudai, T., & Takeuchi, J. (2012). Network traffic screening using frequent sequential patterns. In Lecture Notes in Electrical Engineering (Vol. 110 LNEE, pp. 363–375). https://doi.org/10.1007/978-1-4614-1695-1_28
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