Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 |
| Pages | 315-322 |
| Number of pages | 8 |
| Publication status | Published - Jul 26 2011 |
| Event | International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon, Hong Kong Duration: Mar 16 2011 → Mar 18 2011 |
Publication series
| Name | IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 |
|---|---|
| Volume | 1 |
Other
| Other | International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 |
|---|---|
| Country | Hong Kong |
| City | Kowloon |
| Period | 3/16/11 → 3/18/11 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
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Cite this
Tsuruta, H., Shoudai, T., & Takeuchi, J. (2011). Frequent sequential pattern discovery for data screening. In IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 (pp. 315-322). (IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011; Vol. 1).