Presentation 2017-03-02
Detection of Bot-infected PCs based on C&C Session Classification
Hinako Moroi, Masatoshi Kawarasaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In malware detection by traffic characterization analysis, general-purpose detection and methods specialized to specific malware are being studied. In this paper, we propose a method for improving detection accuracy by combining existing methods for botnets, and apply it to actual data to show its effectiveness. Botnet detection is a method of detecting a C&C server in general. In this paper, by monitoring TCP traffic and classifying its characteristics by a machine learning method, we show that communication with C&C server can be detected with higher accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) C&C server / botnet / anomaly detection
Paper # IN2016-99
Date of Issue 2017-02-23 (IN)

Conference Information
Committee NS / IN
Conference Date 2017/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWA ZANPAMISAKI ROYAL HOTEL
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.)
Vice Chair Yoshikatsu Okazaki(NTT) / Takuji Kishida(NTT)
Secretary Yoshikatsu Okazaki(Kyushu Inst. of Tech.) / Takuji Kishida(NTT)
Assistant Shohei Kamamura(NTT) / Kunitake Kaneko(Keio Univ.) / Takashi Natsume(NTT)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Bot-infected PCs based on C&C Session Classification
Sub Title (in English)
Keyword(1) C&C server
Keyword(2) botnet
Keyword(3) anomaly detection
1st Author's Name Hinako Moroi
1st Author's Affiliation University of Tsukuba(Tsukuba Univ)
2nd Author's Name Masatoshi Kawarasaki
2nd Author's Affiliation University of Tsukuba(Tsukuba Univ)
Date 2017-03-02
Paper # IN2016-99
Volume (vol) vol.116
Number (no) IN-485
Page pp.pp.13-18(IN),
#Pages 6
Date of Issue 2017-02-23 (IN)