There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

With the explosive advancements in smartphone technology, video uploading/downloading
has become a routine part of digital social networking. Video contents contain valuable …

Receiving an accurate emotional response from robots has been a challenging task for
researchers for the past few years. With the advancements in technology, robots like service …

This paper aims to propose a new technique for identifying and categorizing malevolent
Internet traffic within the context of security for smart devices. Given the rising usage of smart …

Devices belonging to the realm of edge Internet of Things (IoT) are becoming highly
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …

The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …

Android-based smart devices cater to services in almost every aspect of our lives like
personal, professional, social, banking, business, etc. However, people with increasingly …

In this work, VoteDroid a novel fine-tuned deep learning models-based ensemble voting
classifier has been proposed for detecting malicious behavior in Android applications. To …

With the significant growth in Industrial Internet of Things (IIoT) technologies, various IIoT-
based applications have emerged in the last decade. In recent years, various malware …

The popularity and open‐source nature of Android devices have resulted in a dramatic
growth of Android malware. Malware developers are also able to evade the detection …