Guest Editors
Prof. Shitharth Selvarajan, Leeds Beckett University, U.K.
Prof. Thippa Reddy Gadekallu, Jiaxing University, China
Prof. Hariprasath Manoharan, Panimalar Engineering College, India
Summary
Cyberattacks target Industrial Control Systems (ICS), also known as supervisory control and data acquisition (SCADA) systems, because they are a vital part of operational technology (OT) in many critical infrastructure domains. Electricity is one of the most essential needs and the foundation of modern living facilities. Any disruption in the delivery of power, such as severe blackouts, will permanently impact many facets of society. With the use of automated substations and supervisory control and data acquisition (SCADA) systems, technology is advancing to enable remote control and monitoring of the power grid. This lowers the cost of power transition and control, boosts efficiency, and encourages the adoption of smart grid technologies. These technologies open up novel opportunities for local electrical firms to remotely monitor and control their power substations and equipment. While some of these innovations have been employed previously, more facilities are available for power system operation and maintenance in contemporary systems. Evidently, if cyber security in the smart grid is neglected, this possibility could become an imminent danger. Determining vulnerable and secure technology is, therefore, one of the most critical and crucial issues to enhance digital security further and lower the danger of cyber-attacks in the smart grid. As a result, it is important to identify the potential hazards and weaknesses associated with the facilities' equipment and to propose practical solutions for handling such problems.
Keywords
Cybersecurity in smart grid SCADA systems for automated control.
Cybersecurity risks and hazards for SCADA and smart grid systems using AI technology.
SCADA communication security in a smart grid setting with machine learning models.
Machine learning-based anomaly detection methods for smart grid cyber-attack detection.
Cyber-attack recovery approach based on strong learning through reinforcement for smart grid SCADA systems.
Effects of cyberattacks on vital SCADA systems for smart grids.
A taxonomy of new cyberattacks targeting the smart grid and its security measures.
Reducing the possibility of cyberattacks on smart grid SCADA infrastructure with AI technology
Login
Register
Submit a Paper
Propose a Special lssue