With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …

In the age of increasing mobile and smart connectivity, malware poses an ever evolving
threat to individuals, societies and nations. Anti-malware companies are often the first and …

Our current defenses against IoT malware may not be adequate to remediate an IoT
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …

Despite decades of research in network traffic analysis and incredible advances in artificial
intelligence, network intrusion detection systems based on machine learning (ML) have yet …

Analyzing the runtime behaviors of Android apps is crucial for malware detection. In this
paper, we attempt to learn the behavior level features of an app from function calls. The …

Since the inception of Andoroid OS, smartphones sales have been growing exponentially,
and today it enjoys the monopoly in the smartphone marketplace. The widespread adoption …

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 …

Popularity and market share of Android operating system has given significant rise to
malicious apps targeting it. Traditional malware detection methods are obsolete as current …

Android malware detection has attracted much attention in recent years. Existing methods
mainly research on extracting static or dynamic features from mobile apps and build mobile …

The availability of big data and affordable hardware have enabled the applications of deep
learning on different tasks. With respect to security, several attempts have been made to …