Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

We are at the brink of Internet of Things (IoT) era where smart devices and other wireless
devices are redesigning our environment to make it more correlative, flexible, and …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

To build effective malware analysis techniques and to evaluate new detection tools, up-to-
date datasets reflecting the current Android malware landscape are essential. For such …

Android malware severely threaten system and user security in terms of privilege escalation,
remote control, tariff theft, and privacy leakage. Therefore, it is of great importance and …

High penetration of Android applications along with their malicious variants requires efficient
and effective malware detection methods to build mobile platform security. API call …

The Android operating system has gained popularity and evolved rapidly since the previous
decade. Traditional approaches such as static and dynamic malware identification …

Android reflects a revolution in handhelds and mobile devices. It is a virtual machine based,
an open source mobile platform that powers millions of smartphone and devices and even a …

To proactively mitigate malware threats, cybersecurity tools, such as anti-virus and anti-
malware software, as well as firewalls, require frequent updates and proactive …

Android malware poses a serious security threat to ordinary mobile users. However, the
obfuscation technology can generate malware variants, which can bypass existing detection …