Detection of Covert Timing Channels with Machine Learning Methods Using Different Window Sizes

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dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.contributor.authorKaradogan, Ismail
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:46:55Z
dc.date.available2024-08-04T20:46:55Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, delays between data packets were read by using different window sizes to detect data transmitted from covert timing channel in computer networks, and feature vectors were extracted from them and detection of hidden data by some classification algorithms was achieved with high performance rate.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Sci,Inonu Univ, Comp Sci Dept,Inonu Univ, Muhendisli Fakultesien_US
dc.identifier.scopus2-s2.0-85074895625en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/99047
dc.identifier.wosWOS:000591781100007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing (Idap 2019)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCovert channelsen_US
dc.subjectnetwork steganographyen_US
dc.subjectinformation securityen_US
dc.subjectmachine learningen_US
dc.titleDetection of Covert Timing Channels with Machine Learning Methods Using Different Window Sizesen_US
dc.typeConference Objecten_US

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