As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …

Potential malicious cyber-attacks to power systems which are connected to a wide range of
stakeholders from the top to tail will impose significant societal risks and challenges. The …

Cyber-security intelligence have made a great impact over healthcare industry where
several researchers are developing new techniques to improve security for healthcare …

Industrial control systems (ICSs) are facing serious and evolving security threats because of
a variety of malicious attacks. Deep learning-based intrusion detection systems (IDSs) have …

Smart cities have attracted a lot of attention from interdisciplinary research, and plenty of
artificial intelligence based solutions have been proposed. However, cyber security has …

The blossom of renewable energy worldwide and its uncertain nature have driven the need
for a more intelligent power system with the deep integration of smart power electronics. The …

Abstract The Industrial Internet of Things (IIoT) is a rapidly emerging technology that
increases the efficiency and productivity of industrial environments by integrating smart …

The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …