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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...
Smartphones are steadily gaining popularity, creating new application areas as their capabilities increase in terms of computational power, sensors and communication. Emerging new features of mobile devices give opportunity to new threats. Android is one of the newer operating systems targeting smartphones. While being based on a Linux kernel, Android has unique properties and specific limitations...
Mobile malware is rapidly developing, but current anti-virus products in mobile devices still use the signature-based solutions, which usually need a large database and cannot detect malware variants. In this paper, we proposed a behavior-based malware detection system for Windows Mobile platform called WMMD (Windows Mobile Malware Detection system). WMMD uses API interception techniques to dynamic...
Recently, various security issues in mobile devices have appeared due to improvement of the performance of mobile devices and the emergence of open mobile platforms. In this paper, we present MyAV, which is an all-round virtual machine monitor, to support various platforms from x86 desktops to ARM embedded platforms by minimizing the processor dependencies. It provides a secure execution environment...
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