Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …

A literature survey shows that the number of malware attacks is gradually growing over the
years due to the growing trend of Internet of Medical Things (IoMT) devices. To detect and …

Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …

Android and Windows are the predominant operating systems used in mobile environment
and personal computers and it is expected that their use will rise during the next decade …

Abstract In the Industrial Internet of Things (IIoT), mobile devices can be used to remotely
monitor and control industrial processes, equipment, and machinery. They can also be used …

The advancement in smart agriculture through the Internet of Things (IoT) devices has
increased the risk of cyber-attacks. Most of the existing malware detection techniques are …

With the rapid increase in the amount and type of malware, traditional methods of malware
detection and family classification for IoT applications through static and dynamic analysis …

The use of smartphone devices in healthcare has increased manifold due to their
widespread use and ease of integration with Internet of Things (IoT) based medical devices …

Abstract The construction of Smart Cities is inseparable from the healthy operation of
markets. Reasonable data analysis can provide a crucial foundation for the development of …

Deep learning models, such as convolutional neural network (CNN), are popular now a day
to solve various complex problems in medical and other fields, such as image classification …