Presentation 2017-12-21
Fundamental Study of Classification of Attackers by Multiple Honeypots
Kazuya Yamashita, Okino Koji,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is known that stored information in a honeypot is affected by its environment of observation, such as its response and its history. Therefore, it is possible to predict attacks by analysis of attack patterns using multiple honeypots. We are running servers as honeypots which have no DNS registration and no link from the Web. For a fundamental study, we classify types of attacker using multiple honeypots. These honeypots are built on an usually used segment and a segment which an FTP server was running. We consider whether it is possible to predict attacks by the classification using multiple honeypots.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Honeypot / IP Address / Cluster Analysis / Mean Shift Algorithm
Paper # ISEC2017-72,COMP2017-26
Date of Issue 2017-12-14 (ISEC, COMP)

Conference Information
Committee ISEC / COMP
Conference Date 2017/12/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Eikokuji Campus, Kochi University of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kazuto Ogawa(NHK) / Hiro Ito(Univ. of Electro-Comm.)
Vice Chair Atsushi Fujioka(Kanagawa Univ.) / Shiho Moriai(NICT) / Yushi Uno(Osaka Pref. Univ.)
Secretary Atsushi Fujioka(Tohoku Univ.) / Shiho Moriai(Tokai Univ.) / Yushi Uno(Seikei Univ.)
Assistant Keita Emura(NICT) / Yuichi Komano(TOSHIBA) / Yuuji Suga(IIJ)

Paper Information
Registration To Technical Committee on Information Security / Technical Committee on Theoretical Foundations of Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fundamental Study of Classification of Attackers by Multiple Honeypots
Sub Title (in English)
Keyword(1) Honeypot
Keyword(2) IP Address
Keyword(3) Cluster Analysis
Keyword(4) Mean Shift Algorithm
1st Author's Name Kazuya Yamashita
1st Author's Affiliation University of Toyama(Univ. of Toyama)
2nd Author's Name Okino Koji
2nd Author's Affiliation University of Toyama(Univ. of Toyama)
Date 2017-12-21
Paper # ISEC2017-72,COMP2017-26
Volume (vol) vol.117
Number (no) ISEC-369,COMP-370
Page pp.pp.1-5(ISEC), pp.1-5(COMP),
#Pages 5
Date of Issue 2017-12-14 (ISEC, COMP)