A New Approach to Spyware Classification Using a 1D-Gaussian Filter on Network Packets

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dc.contributor.authorKilic, Irfan
dc.contributor.authorYaman, Orhan
dc.date.accessioned2026-08-12T16:09:08Z
dc.date.issued2024
dc.departmentFırat Üniversitesi
dc.description8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 21 September 2024 through 22 September 2024 -- Malatya -- 203423
dc.description.abstractThe Windows operating system is the most widely used system by end users. Therefore, spyware is popular in this system. This study used a dimension (1D)-Gaussian filter to detect such infiltrations very quickly. For this purpose, a 4-class dataset obtained in a laboratory environment was used. A new approach classifies Gaussian-filtered network packets using Decision Trees (DT). Recursive Feature Elimination (RFE) was used, which gave good results for comparison. The results obtained show that the study achieved its objective. © 2024 IEEE.
dc.identifier.doi10.1109/IDAP64064.2024.10710346
dc.identifier.isbn979-833153149-2
dc.identifier.scopus2-s2.0-85207910803
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP64064.2024.10710346
dc.identifier.urihttps://hdl.handle.net/11508/41611
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectclassification; decision trees; Gaussian filter; recursive feature elimination; spyware
dc.titleA New Approach to Spyware Classification Using a 1D-Gaussian Filter on Network Packets
dc.typeConference Object

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