These days, cloud computing is one of the most promising technologies to store information
and provide services online efficiently. Using this rapidly developing technology to protect …

The Internet of Things (IoT) is a group of millions of devices having sensors and actuators
linked over wired or wireless channel for data transmission. IoT has grown rapidly over the …

With the ongoing efforts for widespread Internet of Things (IoT) adoption, one of the key
factors hindering the wide acceptance of IoT is security. Securing IoT networks such as the …

While communication-based train control (CBTC) systems play a crucial role in the efficient
and reliable operation of urban rail transits, its high penetration level of communication …

Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …

Machine Learning (ML) has demonstrated great promise in various fields, eg, self-driving,
smart city, which are fundamentally altering the way individuals and organizations live, work …

This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …

To enhance dependable resource allocation against increasing distributed denial-of-service
(DDoS) attacks, in this article, we investigate interactions between a sensor device-edgeVM …

We consider the Internet of Things (IoT) with malware diffusion and seek optimal malware
detection strategies for preserving the privacy of smart objects in IoT networks and …

Deep neural networks (DNNs) have been widely adopted but they are vulnerable to
intentionally crafted adversarial examples. Various attack methods against DNNs have been …