IoT devices are increasingly used every day. However, their limited resources cause them to
be vulnerable to any malware, malicious software that causes harm to any device without …

For the enormous growth and the hysterical impact of undocumented malicious software,
otherwise known as Zero-Day malware, specialized practices were joined to implement …

IoT devices are being exploited as entry points for cyberattacks due to security weaknesses.
IoT malware variants have evolved as a result of vulnerabilities in IoT devices. This study …

Context Technological advances have led to a tremendous increase in complexity and
volume of specialized malware, affecting computational devices across the globe. Along …

In this era, where the volume and diversity of malware is rising exponentially, new
techniques need to be employed for faster and accurate identification of the malwares …

With the wide popularity of Internet-of-Things (IoT), machine learning-based malware
detection systems are incapable of being installed on IoT devices due to restricted …

The detection and localization of malwares using spatial and temporal data patterns require
the development of efficient deep learning models. These models employ various …

The advancement in recent IoT devices has led to catastrophic attacks on the devices by
breaching user's privacy and exhausting the resources in organizations, which costs users …

Abstract Internet of Things (IoT) offers several potential benefits to users with smart devices.
The computer system is facing a lot of security challenges in recent days. Generally, IoT …

Traditional malware detection systems based on signature-based detection methods cannot
detect new and unseen malware. Moreover, conventional machine learning methods for …