The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities
due to adopting Industry 4.0 standards. Integrating data from various places and converging …

Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …

Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …

Supervisory Control and Data Acquisition system linked to Intelligent Electronic Devices
over a communication network keeps an eye on smart grids' performance and safety. The …

Cyberattacks against industrial control systems pose a serious risk to the safety of humans
and the environment. Industrial intrusion detection systems oppose this threat by …

This paper proposes a novel solution using an improved Stacked Auto Encoder (SAE) to
deal with the problem of parametric instability associated with the classification of …

Obtaining current fault data for mechanical equipment is a challenging endeavor. Despite
some successes in anomaly detection, achieving satisfactory results remains difficult …

Today, cyber attackers use Artificial Intelligence (AI) to boost the sophistication and scope of
their attacks. On the defense side, AI is used to improve defense plans, robustness …

Abstract Industrial Internet of Things (I-IoT) has become an emerging driver to operate
industrial systems and a primary empowerer to future industries. With the advanced …

Industry 4.0 affects all components of the modern industry value chain. The accelerating use
of the Internet and the convergence of industrial and operational networks constantly …