Presentation 2006-07-13
A Study on Automatic Classification of Worm Flows Based on Common Pieces of Flow Payloads
Hiroshi TSUNODA, Yuji WAIZUMI, Zheng SEKIBE, Yoshiaki NEMOTO,
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Abstract(in English) Security management is a core issue in the current Internet, and illegal accesses is a serious problem in security management. Among various types of illegal accesses, damage caused by Internet worms has become a social problems. For avoiding and mitigating the damage from worms, early detection and appropriate responses depending on the type of worms are required. Although signature-based intrusion detection systems (IDSs) are useful countermeasures for worms, classification result of detected worms may differ for different among IDSs, because signatures are criteria on distinction of the worm type. This can incur confusion on appropriate responses for worms. In this paper, we presents a worm classification system based on the common pieces included in the payload of the same type of worms.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Worm / Flow payload / Common token / Signature
Paper # CQ2006-20
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Committee CQ
Conference Date 2006/7/6(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Automatic Classification of Worm Flows Based on Common Pieces of Flow Payloads
Sub Title (in English)
Keyword(1) Worm
Keyword(2) Flow payload
Keyword(3) Common token
Keyword(4) Signature
1st Author's Name Hiroshi TSUNODA
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Yuji WAIZUMI
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Zheng SEKIBE
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University:NIPPON TELEGRAPH AND TELEPHON EAST CORPORATION
4th Author's Name Yoshiaki NEMOTO
4th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2006-07-13
Paper # CQ2006-20
Volume (vol) vol.106
Number (no) 153
Page pp.pp.-
#Pages 6
Date of Issue