Frequent sequential pattern discovery for data screening

Hisashi Tsuruta, Takayoshi Shoudai, Jun'ichi Takeuchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

To early detect and defend the threats in the Internet caused by botnet, darknet monitoring is very important to understand various botnet activities. However, common illegal accesses by ordinary malwares makes such detection difficult. In this paper, in order to remove such accesses by ordinary malwares from the results of network monitoring, we propose a data screening method based on finding frequent sequential patterns which appear in given traffic data. Besides, we apply our method to traffic data observed in darknet and report the results.

本文言語英語
ホスト出版物のタイトルIMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
ページ315-322
ページ数8
出版ステータス出版済み - 7 26 2011
イベントInternational MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon, 香港
継続期間: 3 16 20113 18 2011

出版物シリーズ

名前IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011
1

その他

その他International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011
Country香港
CityKowloon
Period3/16/113/18/11

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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引用スタイル