Author/Authors :
KABAKUŞ, Abdullah Talha Abant İzzet Baysal Üniversitesi - Bilgi İşlem Daire Başkanlığı, Turkey , DOĞRU, İbrahim Alper Gazi Üniversitesi - Teknoloji Fakültesi - Bilgisayar Mühendisliği Bölümü, Turkey , ÇETİN, Aydın Gazi Üniversitesi - Teknoloji Fakültesi - Bilgisayar Mühendisliği Bölümü, Turkey
Title Of Article :
Android malware detection and protection systems
Abstract :
According to recent reports, Android, an open source and Linux based operating system, is the most used mobile operating system in all over the world. Due to this popularity and being an open source software, Android has become the main target of malwares and malware developers. Cisco Security Report 2014 highlights that Android is the target of 99% of all mobile malwares. Android applications are commonly installed through the official application market – Play Store. Play Store publishes applications uploaded by different developers without putting a security test. Additionally, when a user attempts to install an application, Android displays the permissions that it demands to users and then shifts all responsibility on them. Most studies indicate that majority of Android users are not aware of these permissions or they do not understand consequences of these permissions. Hence, it is needed to analyze applications to highlight whether they contain malicious content or not and to inform users about it. In order to demand this necessity, there are various approaches and methods in the literature. In this study, four approaches; static analysis, dynamic analysis, siganature based analysis and data encryption on different Android malware detection/protection systems are investigated, and their feature comparisons based on manifest files, API call tracing, signature database and machine learning are presented.
NaturalLanguageKeyword :
Android , malware detection , smartphone , mobile security , mobile application security
JournalTitle :
Erciyes University Journal Of The Institute Of Science and Technology