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Android has become the most widely used mobile operating system (OS) in recent years. There is much research on methods for detecting malicious Android applications. Dynamic analysis methods detect such applications by evaluating their behaviour during execution. However, such mechanisms may be ineffective as malware is often able to disable antimalware software. This paper presents the design of...
In this technology world, smartphones are greatly adopted by people due to the need of personal communication, Internet and many more requirements. Users are attracted to use the android operating system due its availability for low-cost and millions of freely available applications. The popularity of android operating system is also welcomes the attackers. Statistics have shown that, the growth of...
The number of mobile malware is greatly increasing and the malware detection malware has become a critical problem. Android is fast becoming the most popular mobile platform resulting in quick increase in malware targeting the platform. Current static-analysis practice on Android application package (APK) mainly uses the features such as signature, md5 hash, permissions, data flows, API (Application...
This paper proposes an automated virtual security testing platform for Android mobile apps. The testing platform includes three key components: customizing Android OS to include mobile app trace information, creating a virtual testing platform using the customized OS, and developing static and dynamic analyzing techniques for mobile malware detection. The proposed testing platform is a server-side...
This paper proposes an Android malware detection approach based on attack tree. Attack tree model is extended to provide a novel way to organize and exploit behavior rules. Connections between attack goals and application capability are represented by an attack tree structure and behavior rules are assigned to every attack path in the attack tree. In this way, fine-grained and comprehensive static...
Mobile malware has gained significant ground since the dawning of smartphones and handheld devices. TrendLabs estimated that there were 718,000 malicious and high risk Android apps in the second quarter of 2013. Mobile malware malicious infections arise through various techniques such as installing repackaged legitimate apps with malware, updating current apps that piggy back malicious variants, or...
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