Presentation	2011-12-16 SSH Brute Force Attack Detection based on Flow Features Analysis Akihiro SATOH, Yutaka NAKAMURA, Takeshi IKENAGA,
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Abstract(in English)	SSH brute force attack has become more seriously, so administrators are desired to implement its countermeasures. In the traditional ways, the SSH brute force attack has been detected by analyzing access logs and network traffic. However, the former way must check a huge quantity of the logs in all servers, and the latter cannot find victims of the attacks. To solve these problems, we propose SSH brute force attack detection based on the flow features analysis. As the experimental results, we showed to be able to identify the attacks and their victims.
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Keyword(in English)	SSH Brute Force Attack / Flow Features / Traffic Analysis / Network Management
Paper #	IN2011-119
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Conference Information
Committee	IN
Conference Date	2011/12/8(1days)
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Paper Information
Registration To	Information Networks (IN)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	SSH Brute Force Attack Detection based on Flow Features Analysis
Sub Title (in English)
Keyword(1)	SSH Brute Force Attack
Keyword(2)	Flow Features
Keyword(3)	Traffic Analysis
Keyword(4)	Network Management
1st Author's Name	Akihiro SATOH
1st Author's Affiliation	Kyushu Institute of Technology()
2nd Author's Name	Yutaka NAKAMURA
2nd Author's Affiliation	Kyushu Institute of Technology
3rd Author's Name	Takeshi IKENAGA
3rd Author's Affiliation	Kyushu Institute of Technology
Date	2011-12-16
Paper #	IN2011-119
Volume (vol)	vol.111
Number (no)	346
Page	pp.pp.-
#Pages	6
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