Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …

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

Malware is a serious threat that has been used to target mobile devices since its inception.
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …

In the near future, objects have to connect with each other which can result in gathering
private sensitive data and cause various security threats and cyber crimes. To prevent cyber …

Android has dominated the smartphone market and has become the most popular operating
system for mobile devices. However, security threats in Android applications have also …

The popularity and flexibility of the Android platform makes it the primary target of malicious
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …

The new and disruptive technologies for ensuring smartphone security are very limited and
largely scattered. The available options and gaps in this research area must be analysed to …

Machine learning (ML) has been widely used for malware detection on different operating
systems, including Android. To keep up with malware's evolution, the detection models …

Malicious software (malware) is a computer program designed to create harmful and
undesirable effects. It considered as one of the many dangerous threats for Internet users …

A large number of research studies have been focused on detecting Android malware in
recent years. As a result, a reliable and large-scale malware dataset is essential to build …