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 malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …

Android malware has continued to grow in volume and complexity posing significant threats
to the security of mobile devices and the services they enable. This has prompted increasing …

Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …

Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …

The widespread development of the malware industry is considered the main threat to our e-
society. Therefore, malware analysis should also be enriched with smart heuristic tools that …

Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …

Obfuscapk is an open-source automatic obfuscation tool for Android apps that works in a
black-box fashion (ie, it does not need the app source code). Obfuscapk supports advanced …

This paper presents a privacy-preserving federated learning (PPFL) system for the detection
of android malware. The proposed PPFL allows mobile devices to collaborate together for …

Long short-term memory recurrent neural network (LSTM-RNN) have witnessed as a
powerful approach for capturing long-range temporal dependencies in sequences of …