Presentation 2019-03-07
Exploring Malicious URL in Dark Web Using Tor Crawler
Yuki Kawaguchi, Seiichi Ozawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, various web-based attacks such as Drive-by-Download attacks are becoming serious. To protect legitimate users, it is important to collect information on malicious sites that could provide a blacklist-based detection software. In our study, we propose a system to collect URLs of malicious sites on the dark web. The proposed system automatically crawls dark web sites and collects malicious URLs that are judged by using VirusTotal and the Gred engine. We also study the genres of web sites that potentially have malicious URLs using a machine learning approach to document analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Tor / dark web / document classification / machine learning
Paper # IT2018-76,ISEC2018-82,WBS2018-77
Date of Issue 2019-02-28 (IT, ISEC, WBS)

Conference Information
Committee IT / ISEC / WBS
Conference Date 2019/3/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) University of Electro-Communications
Topics (in Japanese) (See Japanese page)
Topics (in English) joint meeting of IT, ISEC, and WBS
Chair Jun Muramatsu(NTT) / Atsushi Fujioka(Kanagawa Univ.) / Minoru Okada(NAIST)
Vice Chair Tadashi Wadayama(Nagoya Inst. of Tech.) / Shiho Moriai(NICT) / Shoichi Hirose(Univ. of Fukui) / Koji Ohuchi(Shizuoka Univ.) / Kenichi Takizawa(NICT)
Secretary Tadashi Wadayama(Nagano Pref Inst. of Tech.) / Shiho Moriai(UEC) / Shoichi Hirose(Tokai Univ.) / Koji Ohuchi(NICT) / Kenichi Takizawa(Ibaraki Univ.)
Assistant Takahiro Yoshida(Yokohama College of Commerce) / Kazunari Omote(Tsukuba Univ.) / Yuuji Suga(IIJ) / Ryohei Nakamura(National Defense Academy) / Duong Quang Thang(NAIST)

Paper Information
Registration To Technical Committee on Information Theory / Technical Committee on Information Security / Technical Committee on Wideband System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Exploring Malicious URL in Dark Web Using Tor Crawler
Sub Title (in English)
Keyword(1) Tor
Keyword(2) dark web
Keyword(3) document classification
Keyword(4) machine learning
1st Author's Name Yuki Kawaguchi
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Seiichi Ozawa
2nd Author's Affiliation Kobe University(Kobe Univ.)
Date 2019-03-07
Paper # IT2018-76,ISEC2018-82,WBS2018-77
Volume (vol) vol.118
Number (no) IT-477,ISEC-478,WBS-479
Page pp.pp.7-12(IT), pp.7-12(ISEC), pp.7-12(WBS),
#Pages 6
Date of Issue 2019-02-28 (IT, ISEC, WBS)