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Android has become the most prevalent mobile system, but in the meanwhile malware on this platform is widespread. System call sequences are studied to detect malware. However, malware detection with these approaches relies on common system-call-subsequences. It is not so efficient because it is difficult to decide the appropriate length of the common subsequences. To address this issue, the authors...
Android has become the largest-selling operating system for smartphones, and thousands of new Android applications are developed and published everyday. However, quality, not quantity, is the real mobile application problem. The robustness of Android applications are worrisome as many of them always have crash bugs. It's unrealistic to rely on developers' experience to eliminate them all. There are...
Malware in Android has enjoyed a prevalence as Android has taken up a primary market in the mobile devices. In this paper, Adaptive Regularization Of Weights (AROW) and Support Vector Machine (SVM) are used to identify malware with both the static and dynamic analysis. Permissions, control flow graphs and system calls are taken as the application's classification features. Single features, the combination...
Security on mobile devices is becoming increasingly important. HTML5 are widely used to develop mobile applications due to its portability on multi platforms. However it is allowed to mix data and code together in web technology. HTML5-based applications are prone to suffer from code injection attacks that are similar to XSS. In this paper, at first, we introduce a more hidden type of code injection...
By using the prevalent smart phone embedded with different kinds of sensors, we build a practical indoor localization system which takes low labor-cost and is large-scaly applied. In this paper we discuss the challenges in building such a system and how we handle them. Our indoor localization system is based on the radio frequency (RF) heard from the surrounding Access Points (APs). The Received Signal...
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