Ai and Performance Capabilities of Cybersecurity in the Energy Industry
Year: 2024
Type: article
Abstract: : The energy industry is significant by digitalization, renewable integration, and automation, making it increasingly reliant on interconnected systems. This evolution exposes the sector to sophisticated cyber threats targeting critical infrastructure, operational technologies (OT), and supply chains, enhancing the cybersecurity landscape of the energy industry, offering several opportunities in the industry. This article explores dual role of AI in shaping the energy industry's cybersecurity framework, emphasizing its impact on threat prevention and performance optimization. Key aspects such as the integration of AI-driven anomaly detection systems, real-time response capabilities, and secure energy grid operations are analyzed. The article also examines the challenges of implementing AI-based cybersecurity, including ethical concerns, data privacy, and the risk of adversarial AI attacks. The article shows the necessity for a fair approach to harness AI’s potential while ensuring robust, secure, and efficient energy operations.
Authors: Aziboledia Frederick Boye*, Onate Egerton Taylor, Deepak Bhagat
Institution: Rivers State University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911974877
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