The concept of smart grid (SG) was made real to give the power grid the functions and
features it needs to make a smooth transition towards renewable energy integration and …

Internet usage has grown exponentially, with individuals and companies performing multiple
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

Several critical infrastructures are integrating information technology into their operations,
and as a result, the cyber attack surface extends over a broad range of these infrastructures …

This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …

This paper proposes a novel intrusion detection system (IDS) that combines different
classifier approaches which are based on decision tree and rules-based concepts, namely …

Machine learning technology has become mainstream in a large number of domains, and
cybersecurity applications of machine learning techniques are plenty. Examples include …

The industrial control systems are facing an increasing number of sophisticated cyber
attacks that can have very dangerous consequences on humans and their environments. In …

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 …

Smart Grid technology will revolutionize modern industries providing powerful solutions to
increase the efficiency of traditional Electric Grids. Smart Grid is an energy supply network …