Performance Analysis of Machine Learning Algorithms for Malware Detection by Using CICMalDroid2020 Dataset

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dc.contributor.authorSönmez, Yusuf
dc.contributor.authorSalman, Meltem
dc.contributor.authorDener, Murat
dc.date.accessioned2023-04-10T20:28:02Z
dc.date.available2023-04-10T20:28:02Z
dc.date.issued2021
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractIn parallel with the developments in technology, access to information has become easier. Although this situation has a positive effect on our lives, it is an inevitable fact that information has become a target by malicious people. Theft of information and its use as a threat by these people have caused concerns about information security. Malware developed for these purposes poses a great danger to the security of information. In the face of this situation, which increases as access to information becomes easier, researchers have accelerated their work on detecting and preventing malware and ensuring information security. In the literature, it is seen that the detection of malicious software has been carried out with different studies. In this study, malware detection was carried out using the WEKA program. The effects of different machine learning classifiers, feature extraction and the parameters that affect the performance of the classification that gives the best result were examined in the analyzes made with the CICMalDroid2020 dataset. The results are presented in detail.en_US
dc.identifier.doi10.29130/dubited.1018223
dc.identifier.endpage288en_US
dc.identifier.issn2148-2446
dc.identifier.issue6en_US
dc.identifier.startpage280en_US
dc.identifier.trdizinid499056en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.1018223
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/499056
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11860
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titlePerformance Analysis of Machine Learning Algorithms for Malware Detection by Using CICMalDroid2020 Dataseten_US
dc.typeArticleen_US

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