AFWDroid- Deep feature extraction and weighting for android malware detection

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dc.contributor.authorEr, Orhan
dc.contributor.authorArslan, Recep Sinan
dc.contributor.authorÖlmez, Emre
dc.date.accessioned2023-03-22T19:48:01Z
dc.date.available2023-03-22T19:48:01Z
dc.date.issued2021
dc.departmentBelirleneceken_US
dc.description.abstractAndroid malware detection is a critical and important problem that must be solved for a widely used operating system. Conventional machine learning techniques first extract some features from applications, then create classifiers to distinguish between malicious and benign applications. Most of the studies available today ignore the weighting of the obtained features. To overcome this problem, this study proposes a new software detection method based on weighting the data in feature vectors to be used in classification. To this end, firstly, the manifest file was read from the Android application package. Different features such as activities, services, permissions were extracted from the file, and for classification, a selection was made among these features. The parameters obtained as a result of selection were optimized by the deep neural network model. Studies revealed that through feature selection and weighting, better performance values could be achieved and more competitive results could be obtained in weight-sensitive classification.en_US
dc.identifier.doi10.24012/dumf.875036
dc.identifier.endpage246en_US
dc.identifier.issn1309-8640
dc.identifier.issn2146-4391
dc.identifier.issue2en_US
dc.identifier.startpage237en_US
dc.identifier.trdizinid479511en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/949
dc.identifier.urihttps://doi.org/10.24012/dumf.875036
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/479511
dc.identifier.volume12en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.journalDicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAFWDroid- Deep feature extraction and weighting for android malware detectionen_US
dc.typeArticleen_US

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