Presentation 2005-07-21
A Proposal of Worm Detection System by Taking a Statistics of Series of Packets to Honeypot
Maki KATAOKA, Yumiko ISHIGE, Nobutaka MANTANI, Humiharu OHASHI,
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Abstract(in English) A worm detection system tells us when an unknown worm occurs as well as its attributes. In the proposed system, traffic from the Internet to the honeypot is divided into a series of packets, which include some established TCP connections. The similarity between one series of packets and another are calculated by using the vector space model and the edit distance. As a result, we were able to know that how many times each incident happened and how similar each incident was to others incident. Finally, we were able to find some unknown worms and their attributes.
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Keyword(in English) Computer Security Incident / Worm Detection / Vector Space Model / Edit Distance
Paper # ISEC2005-9,SITE2005-7
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Committee SITE
Conference Date 2005/7/14(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of Worm Detection System by Taking a Statistics of Series of Packets to Honeypot
Sub Title (in English)
Keyword(1) Computer Security Incident
Keyword(2) Worm Detection
Keyword(3) Vector Space Model
Keyword(4) Edit Distance
1st Author's Name Maki KATAOKA
1st Author's Affiliation National Security Business Unit, Public Business Sector, NTT Data Corporation()
2nd Author's Name Yumiko ISHIGE
2nd Author's Affiliation National Security Business Unit, Public Business Sector, NTT Data Corporation
3rd Author's Name Nobutaka MANTANI
3rd Author's Affiliation High-Tech Crime Technology Division, Information Communications Bureau, National Police Agency
4th Author's Name Humiharu OHASHI
4th Author's Affiliation High-Tech Crime Technology Division, Information Communications Bureau, National Police Agency
Date 2005-07-21
Paper # ISEC2005-9,SITE2005-7
Volume (vol) vol.105
Number (no) 192
Page pp.pp.-
#Pages 6
Date of Issue