Presentation 2011-06-16
Combining the outcomes of IP reputation services
Tatsuya MORI, Kazumichi SATO, Yosuke TAKAHASHI, Tatsuaki KIMURA, Keisuke ISHIBASHI,
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Abstract(in English) IP reputation systems establish a service that provides us with the "reputation" of IP addresses, primarily based on past measurement. For instance, several DNSBL (Domain Name System Block List) services provide a list of IP addresses published through the DNS; i.e., they return the negative reputation for IP addresses as potential origins of e-mail spam messages. As there are a lot of independent DNSBL services available on the Internet, it is crucial that we combine the outcomes of those reputation systems. This paper provides simple methods that attempt to extract accurate decision based on multiple outcomes of IP reputation systems. Using e-mail delivery logs collected at an middle-scale enterprise network, we evaluate the effectiveness of the approaches and compare their advantages and disadvantages.
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Keyword(in English) IP reputation / spam / combining / voting / pattern matching / machine learning
Paper # IA2011-1,ICSS2011-1
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Committee IA
Conference Date 2011/6/9(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Combining the outcomes of IP reputation services
Sub Title (in English)
Keyword(1) IP reputation
Keyword(2) spam
Keyword(3) combining
Keyword(4) voting
Keyword(5) pattern matching
Keyword(6) machine learning
1st Author's Name Tatsuya MORI
1st Author's Affiliation NTT Service Integration Laboratories()
2nd Author's Name Kazumichi SATO
2nd Author's Affiliation NTT Service Integration Laboratories
3rd Author's Name Yosuke TAKAHASHI
3rd Author's Affiliation NTT Service Integration Laboratories
4th Author's Name Tatsuaki KIMURA
4th Author's Affiliation NTT Service Integration Laboratories
5th Author's Name Keisuke ISHIBASHI
5th Author's Affiliation NTT Service Integration Laboratories
Date 2011-06-16
Paper # IA2011-1,ICSS2011-1
Volume (vol) vol.111
Number (no) 81
Page pp.pp.-
#Pages 6
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