Permission based detection system for android malware
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.32, sa.4, ss.1015-1024, 2017 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 32 Sayı: 4
- Basım Tarihi: 2017
- Doi Numarası: 10.17341/gazimmfd.368788
- Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.1015-1024
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Gazi Üniversitesi Adresli: Evet
Özet
Nowadays uses and functionality of mobile devices show a large increase. Mobile devices have become platforms where users keep personal information. Due to such characteristics, mobile devices have become the target of the attackers. In this study, a permission-based malware detection system have been developed using Naive Bayes and KNN algorithms. The test results of the proposed system were analyzed and compared for each algorithm. Analysis results showed that Naive Bayes classifier was successful in detecting malware with 97.29% And Knn classifier was successful in detecting malware with 97.74%.