People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …

Increasing use of renewable energy sources, liberalized energy markets and most
importantly, the integrations of various monitoring, measuring and communication …

It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially
devastating consequences in case of an attack. Machine learning (ML) and big data …

The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …

The proliferation and application of machine learning-based Intrusion Detection Systems
(IDS) have allowed for more flexibility and efficiency in the automated detection of cyber …

The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …

Despite artificial intelligence (AI)'s significant growth, its “black box” nature creates
challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in …

Critical infrastructure systems are evolving from isolated bespoke systems to those that use
general-purpose computing hosts, IoT sensors, edge computing, wireless networks and …

AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting,
and countering cyber threats to keep up information confidentiality. The increasing …

This paper presents a comprehensive survey of existing cyber security solutions for fog-
based smart grid SCADA systems. We start by providing an overview of the architecture and …