With the emergence of smartphones, Android has become a widely used mobile operating
system. However, it is vulnerable when encountering various types of attacks. Every day …

Android is currently the most extensively used smartphone platform in the world. Due to its
popularity and open source nature, Android malware has been rapidly growing in recent …

One of the most widely used smartphone operating systems, Android, is vulnerable to cutting-
edge malware that employs sophisticated logic. Such malware attacks could lead to the …

The continuous emergence of malware has threatened to the Android platform and user
privacy. With the evolution of the Android system and malware, it is challenging to design a …

The popularity of Android OS has made it an appealing target for malware developers. To
evade detection, including by ML-based techniques, attackers invest in creating malware …

The existing malware classification approaches (ie, binary and family classification) can
barely benefit subsequent analysis with their outputs. Even the family classification …

Evolving Android malware poses a severe security threat to mobile users, and machine-
learning (ML)-based defense techniques attract active research. Due to the lack of …

In order to overcome the lasting increase of Android malware, malware family classification,
which clusters malware with the same features into one family, has been proposed as an …

Automatic malware classifiers often perform badly on the detection of new malware, ie, their
robustness is poor. We study the machine-learning-based mobile malware classifiers and …

High-quality datasets are crucial for building realistic and high-performance supervised
malware detection models. Currently, one of the major challenges of machine learning …