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Paper Abstract and Keywords
Presentation 2015-06-12 10:50
Detecting Malicious Domain Names based on the Time-series Analysis of Attackers Network Resources
Daiki Chiba (NTT/Waseda Univ.), Takeshi Yagi, Mitsuaki Akiyama (NTT), Tatsuya Mori (Waseda Univ.), Takeshi Yada, Takeo Hariu (NTT), Shigeki Goto (Waseda Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Attackers launching cyber attacks frequently change their malicious websites to evade countermeasures such as blacklisting. To detect such changing malicious websites, many detection methods using the network and domain name based characteristics have been proposed. However, a typical detection method fails to evaluate changing malicious websites since the method only relies on the information at a certain point in time. Therefore, we propose a new detection method of malicious domain names focusing on the characteristics of attackers behavior, especially the changing situation of malicious domain names. Moreover, we realize the method for determining the optimal granularity of malicious domain names for preventing users from accessing them. Our evaluation using large and latest real dataset reveals that our method successfully detects previously undetectable malicious domain names by the typical method. The evaluation also shows that many malicious websites can be effectively blocked using the granularity of domain names.
Keyword (in Japanese) (See Japanese page) 
(in English) Drive-by download attack / Domain name / Blacklisting / DNS / Machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 81, ICSS2015-10, pp. 51-56, June 2015.
Paper # ICSS2015-10 
Date of Issue 2015-06-04 (IA, ICSS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee IA ICSS  
Conference Date 2015-06-11 - 2015-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2015-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detecting Malicious Domain Names based on the Time-series Analysis of Attackers Network Resources 
Sub Title (in English)  
Keyword(1) Drive-by download attack  
Keyword(2) Domain name  
Keyword(3) Blacklisting  
Keyword(4) DNS  
Keyword(5) Machine learning  
1st Author's Name Daiki Chiba  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation/Waseda University (NTT/Waseda Univ.)
2nd Author's Name Takeshi Yagi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Mitsuaki Akiyama  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Tatsuya Mori  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Takeshi Yada  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Takeo Hariu  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
7th Author's Name Shigeki Goto  
7th Author's Affiliation Waseda University (Waseda Univ.)
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Date Time 2015-06-12 10:50:00 
Presentation Time 20 
Registration for ICSS 
Paper # IEICE-IA2015-10,IEICE-ICSS2015-10 
Volume (vol) IEICE-115 
Number (no) no.80(IA), no.81(ICSS) 
Page pp.51-56 
#Pages IEICE-6 
Date of Issue IEICE-IA-2015-06-04,IEICE-ICSS-2015-06-04 

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