Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …

The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …

Abstract Now the Industrial Internet of Things (IIoT) devices can be deployed to monitor the
flow of data, the source of collection and supervision on a large scale of complex networks. It …

In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …

As the number of internet users increases so does the number of malicious attacks using
malware. The detection of malicious code is becoming critical, and the existing approaches …

Combining the metaverse and the Internet of Things (IoT) will lead to the development of
diverse, virtual, and more advanced networks in the future. The integration of IoT networks …

The rapid growth in the number of malware and its variants has seriously affected the
security of the Internet. In recent years, deep learning combined with visualization …

Auto-detection of diseases has become a prime issue in medical sciences as population
density is fast growing. An intelligent framework for disease detection helps physicians …

The emergence of the Internet of Things (IoT) accelerated the implementation of various
smart city applications and initiatives. The rapid adoption of IoT-powered smart cities is …

Today, the extensive reliae on technology has exposed us to a constant threat of
sophisticated malware attacks. Various automated malware production techniques have …