Semi-supervised Botnet Detection Using Ant Colony Clustering

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 306
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorHuseynov, Khalid-
dc.contributor.authorKim, Kwangjo-
dc.contributor.authorYoo, Paul D.-
dc.date.accessioned2016-12-01T01:39:56Z-
dc.date.available2016-12-01T01:39:56Z-
dc.date.created2014-11-24-
dc.date.issued2014-01-22-
dc.identifier.citationSCIS2014, v.0-
dc.identifier.urihttp://hdl.handle.net/10203/214370-
dc.languageEnglish-
dc.publisherThe Institute of Electronics, Information and Communication Engineers (IEICE)-
dc.titleSemi-supervised Botnet Detection Using Ant Colony Clustering-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.volume0-
dc.citation.publicationnameSCIS2014-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKagoshima-
dc.contributor.localauthorKim, Kwangjo-
dc.contributor.nonIdAuthorHuseynov, Khalid-
dc.contributor.nonIdAuthorYoo, Paul D.-
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0