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| Paper Abstract and Keywords | ||
| Presentation | 2019-03-07 09:55 Exploring Malicious URL in Dark Web Using Tor Crawler Yuki Kawaguchi, Seiichi Ozawa (Kobe Univ.)  IT2018-76 ISEC2018-82 WBS2018-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Tor / dark web / document classification / machine learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 478, ISEC2018-82, pp. 7-12, March 2019. | |
| Paper # | ISEC2018-82 | |
| Date of Issue | 2019-02-28 (IT, ISEC, WBS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IT2018-76 ISEC2018-82 WBS2018-77 |
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| Conference Information | |
| Committee | IT ISEC WBS |
| Conference Date | 2019-03-07 - 2019-03-08 |
| 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 |
| Paper Information | |
| Registration To | ISEC |
| Conference Code | 2019-03-IT-ISEC-WBS |
| Language | Japanese |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-07 09:55:00 |
| Presentation Time | 25 minutes |
| Registration for | ISEC |
| Paper # | IT2018-76, ISEC2018-82, WBS2018-77 |
| Volume (vol) | vol.118 |
| Number (no) | no.477(IT), no.478(ISEC), no.479(WBS) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2019-02-28 (IT, ISEC, WBS) |
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