| Paper Abstract and Keywords |
| Presentation |
2009-06-18 10:20
A study on detection of botnet based on probabilistic dependencies Shintaro Murakami, Hiroki Hamasaki, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ/ISIT), Katsunari Yoshioka (Yokohama National Univ.), Daisuke Inoue, Masashi Eto, Koji Nakao (NICT) IA2009-1 ICSS2009-9 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Damage by malware is becoming more serious. Especally, bots, which are a kind of malware, are a great problem these days. Bots comprise a network called botnets and attack all together under control of attackers. There are a lot of subspecies of bots, because making them is easy. Therefore, detection of bots by the signature match is difficult. In this paper, we focus on synchronized activities of bots and assume that the traffic data of hosts composing a botnet depends on each other. We regard a change of dependencies of hosts as an anomaly, and ivestigate how to detect botnets by anomaly detection. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
/ / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 109, no. 85, IA2009-1, pp. 1-6, June 2009. |
| Paper # |
IA2009-1 |
| Date of Issue |
2009-06-11 (IA, ICSS) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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| Download PDF |
IA2009-1 ICSS2009-9 |