Presentation 2021-03-01
Detection of Infected Device Using DNS Traffic
Soichiro Kogo, Atsushi Kanai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The damage caused by computer viruses is becoming a serious problem. However, it requires a lot of effort to manage all the terminals connected to the network. Therefore, we focus on the network traffic instead of the terminal side. Since it doesn't depend on the terminal, it is effective in identifying infected terminals without placing a burden on the terminal side. In this paper, we propose a method for detecting BOT by analyzing DNS traffic, which is assumed to change when infected. We used features obtained from A-records of DNS packets and Random Forest as a machine learning method to determine unauthorized traffic. As a result, we have demonstrated that it is possible to achieve high-accuracy and high-speed detection.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine Learning / Detection / Security / Malware / BOT / DNS / IoT
Paper # ICSS2020-27
Date of Issue 2021-02-22 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2021/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Security, Trust, etc.
Chair Hiroki Takakura(NII)
Vice Chair Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT)
Secretary Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.)
Assistant Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.)

Paper Information
Registration To Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Infected Device Using DNS Traffic
Sub Title (in English)
Keyword(1) Machine Learning
Keyword(2) Detection
Keyword(3) Security
Keyword(4) Malware
Keyword(5) BOT
Keyword(6) DNS
Keyword(7) IoT
Keyword(8)
1st Author's Name Soichiro Kogo
1st Author's Affiliation Hosei University(Hosei Univ.)
2nd Author's Name Atsushi Kanai
2nd Author's Affiliation Hosei University(Hosei Univ.)
Date 2021-03-01
Paper # ICSS2020-27
Volume (vol) vol.120
Number (no) ICSS-384
Page pp.pp.7-12(ICSS),
#Pages 6
Date of Issue 2021-02-22 (ICSS)