The extensive research in machine learning based Android malware detection showcases
high-performance metrics through a wide range of proposed solutions. Consequently, this …

There is an exponential rise in the use of smartphones in government and private institutions
due to business dependencies such as communication, virtual meetings, and access to …

Recently there is an upsurge in Android malware that use obfuscation and repackaging
techniques for evasion. Malware may also combine both these techniques to create stealthy …

Android security permissions are built-in security features that constrain what an app can do
and access on the system, that is, its privileges. Permissions have been widely used for …

The vast body of research in the Android malware detection domain has demonstrated that
machine learning can provide high performance for mobile malware detection. However, the …

Ransomware, particularly crypto ransomware, has emerged as the go-to malware for threat
actors aiming to compromise data on Android devices as well as in general. In this paper …

Cyber attackers leverage malware to infiltrate systems, steal sensitive data, and extort
victims, posing a significant cybersecurity threat. Security experts address this challenge by …

The ubiquitous diffusion of mobile devices requires the availability of effective malware
detection solutions to ensure user security and privacy. The dynamic nature of the mobile …

Due to the tight coupling between the cyber and physical components, control systems are
subjected to emerging cyberattacks. In addition to attacks based on networking and …