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 …

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 …

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 …

Supervisory control and data acquisition (SCADA) stands as a control system consisting of
computers and networked data communications. At present, many industries use SCADA to …

This study proposes a modeling method of soft measurement of offshore wind speed using
Kernal Extreme Learning Machine (KELM). The soft measurement model of offshore wind …

This article is devoted to the intelligent optimization issue by means of PEO-FOCNN, ie, the
fractional-order convolutional neural networks (FOCNNs) with population extremal …

Many approaches have been proposed for detecting and categorizing malicious activities
over the years. The adversarial training process has recently been applied to solve this task …

This paper proposes a probing signal-based replay attack detection method that avoids
control performance degradation. Employing probing signals in actuators to detect replay …

This article aims to study intrusion attacks and then develop a novel cyberattack detection
framework for blockchain networks. Specifically, we first design and implement a blockchain …