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Identifying IP Blocks with Spamming Bots by Spatial Distribution

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dc.contributor.authorYun, Sangki-
dc.contributor.authorKim, Byungseung-
dc.contributor.authorBahk, Saewoong-
dc.contributor.authorKim, Hyogon-
dc.date.accessioned2021-09-08T01:26:55Z-
dc.date.available2021-09-08T01:26:55Z-
dc.date.created2021-06-11-
dc.date.issued2010-08-
dc.identifier.issn0916-8516-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/116032-
dc.description.abstractIn this letter, we develop a behavioral metric with which spamming botnets can be quickly identified with respect to their residing IP blocks. Our method aims at line-speed operation without deep inspection, so only TCP/IP header fields of the passing packets are examined. However, the proposed metric yields a high-quality receiver operating characteristics (ROC), with high detection rates and low false positive rates.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleIdentifying IP Blocks with Spamming Bots by Spatial Distribution-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Hyogon-
dc.identifier.doi10.1587/transcom.E93.B.2188-
dc.identifier.scopusid2-s2.0-77955406539-
dc.identifier.wosid000281342700027-
dc.identifier.bibliographicCitationIEICE TRANSACTIONS ON COMMUNICATIONS, v.E93B, no.8, pp.2188 - 2190-
dc.relation.isPartOfIEICE TRANSACTIONS ON COMMUNICATIONS-
dc.citation.titleIEICE TRANSACTIONS ON COMMUNICATIONS-
dc.citation.volumeE93B-
dc.citation.number8-
dc.citation.startPage2188-
dc.citation.endPage2190-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordAuthorbotnet-
dc.subject.keywordAuthorspamming-
dc.subject.keywordAuthoridentification-
dc.subject.keywordAuthordetection-
dc.subject.keywordAuthorfalse positive-
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