Android malware is a major cyber threat to the popular Android platform which may
influence millions of end users. To battle against Android malware, a large number of …

Mobile phones have become a target for cybercrime where malicious apps are developed to
acquire sensitive information or corrupt data. To mitigate this issue and to improve the …

To relieve the burden of security analysts, Android malware detection and its family
classification need to be automated. There are many previous works focusing on using …

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 …

Reversing binary samples is a conventional way to detect Android malware and is limited by
the prosperity of code obfuscation. Detecting network traffic generated by Android malware …

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 …

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

To counter the continuous threat posed by Android malware, we attempted to devise a novel
method based on active learning. Nonetheless, evaluating our active learning based …

Android offers plenty of services to mobile users and has gained significant popularity
worldwide. The success of Android has resulted in attracting more mobile users but also …

As the popularity of Android mobile operating system grows, the number of malicious
software have increased extensively. Therefore, many research efforts have been done on …