Repackaging is a serious threat to the Android ecosystem as it deprives app developers of
their benefits, contributes to spreading malware on users' devices, and increases the …

Android platform security is an active area of research where malware detection techniques
continuously evolve to identify novel malware and improve the timely and accurate detection …

Machine learning (ML) classifiers have been widely deployed to detect Android malware,
but at the same time the application of ML classifiers also faces an emerging problem. The …

The rapid increase in the number of Android malware poses great challenges to anti-
malware systems, because the sheer number of malware samples overwhelms malware …

The Android packaging model offers ample opportunities for malware writers to piggyback
malicious code in popular apps, which can then be easily spread to a large user base …

Program code is a valuable asset to its owner. Due to the easy-to-reverse nature of Java,
code protection for Android apps is of particular importance. To this end, code obfuscation is …

Existing Android malware detection methods are usually hard to simultaneously resist
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …

Malware detection techniques achieve great success with deeper insight into the semantics
of malware. Among existing detection techniques, function call graph (FCG) based methods …

With the exponential growth of smartphone adoption, malware attacks on smartphones have
resulted in serious threats to users, especially those on popular platforms, such as Android …

Recent years have witnessed the sharp increase of malicious apps that steal users' personal
information. To address users' concerns about privacy risks, more and more apps are …