Permission based detection system for android malware

Utku, Anil; Dogru, İBRAHİM

doi:10.17341/gazimmfd.368788

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)

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
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%.