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Appl. Sci. 2018, 8(9), 1622; https://doi.org/10.3390/app8091622

Web-Based Android Malicious Software Detection and Classification System

Department of Computer Engineering, Gazi University Faculty of Technology, Teknikokullar Ankara 06500, Turkey
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Received: 20 August 2018 / Revised: 7 September 2018 / Accepted: 10 September 2018 / Published: 12 September 2018
(This article belongs to the Special Issue Security and Privacy for Cyber Physical Systems)
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Abstract

Android is the most used operating system (OS) by mobile devices. Since applications uploaded to Google Play and other stores are not analyzed comprehensively, it is not known whether the applications are malicious software or not. Therefore, there is an urgent need to analyze these applications regarding malicious software. Moreover, mobile devices have limited resources to analyze the applications. In this study, a malicious detection system named “Web-Based Android Malicious Software Detection and Classification System” was developed. The system is based on client-server architecture, static analysis and web-scraping methods. The proposed system overcomes the resource restriction issue, as well as providing third-party service support by means of client-server architecture. Based on the performance evaluation conducted in this research, the developed system’s success rate is 97.62% on benign and malicious datasets. View Full-Text
Keywords: Android; malware detection; static analysis; mobile security Android; malware detection; static analysis; mobile security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Doğru, İ.A.; KİRAZ, Ö. Web-Based Android Malicious Software Detection and Classification System. Appl. Sci. 2018, 8, 1622.

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