The security research community has invested significant effort in improving the security of
Android applications over the past half decade. This effort has addressed a wide range of …

Android is the most popular mobile platform today, and it is also the mobile operating system
that is most heavily targeted by malware. Existing static analyses are effective in detecting …

Numerous static analysis techniques have recently been proposed for identifying
information flows in mobile applications. These techniques are compared to each other …

This paper proposes a new technique to detect mobile malware based on information flow
analysis. Our approach examines the structure of information flows to identify patterns of …

Android applications (APPS) are in widespread use and have enriched our life. To ensure
the quality and security of the apps, many approaches have been proposed in recent years …

Android-based devices easily fall prey to an attack due to its free availability in the android
market. These Android applications are not certified by the legitimate organization. If the …

To write code, developers stitch together patterns, like API protocols or data structure
traversals. Discovering these patterns can identify inconsistencies in code or opportunities to …

With the rising popularity of Android mobile devices, the amount of malicious applications
targeting the Android platform has been increasing tremendously. To mitigate the risk of …

Local databases have become an important component within mobile applications.
Developers use local databases to provide mobile users with a responsive and secure …

Numerous static taint analysis techniques have recently been proposed for identifying
information flows in mobile applications. These techniques are often optimized and …