Cybersecurity is critical in the modern world and is vital for the protection of critical infrastructure, particularly in the electrical power sector. Cyber threats such as hacking, malware, and data breaches are becoming more sophisticated, and therefore, protecting the systems that run the power grids becomes more difficult. New technologies like smart grids, IoT devices, and cloud-based control systems have been developed at a very high rate, but this has opened up new vulnerabilities to cyber risks, including Supervisory Control and Data Acquisition (SCADA) breaches and power disruptions. This chapter aims to outline the current trends in cybersecurity in power grids while stressing the need for better security measures. Conventional methods are failing; thus, there is a need for better defenses. There are potential solutions to the problem of cyber threats with the help of artificial intelligence (AI) and machine learning (ML), which improve the efficiency of threat detection and system resilience by recognizing anomalies and counteracting threats. This chapter performs a SWOT analysis of the energy sector's existing cybersecurity strategies to determine the strengths, weaknesses, opportunities, and threats. The main recommendations for improvement are increasing the user's awareness, implementing zero-trust architectures, and using AI for innovation. The research underscores that continuous improvement of cybersecurity practices is vital to safeguarding the power grid against emerging threats in the digital age.

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AI-Powered Cybersecurity Strategies for Renewable Energy Systems: A Comprehensive Review

  • Rishika Singh,
  • Kartik Sharma

摘要

Cybersecurity is critical in the modern world and is vital for the protection of critical infrastructure, particularly in the electrical power sector. Cyber threats such as hacking, malware, and data breaches are becoming more sophisticated, and therefore, protecting the systems that run the power grids becomes more difficult. New technologies like smart grids, IoT devices, and cloud-based control systems have been developed at a very high rate, but this has opened up new vulnerabilities to cyber risks, including Supervisory Control and Data Acquisition (SCADA) breaches and power disruptions. This chapter aims to outline the current trends in cybersecurity in power grids while stressing the need for better security measures. Conventional methods are failing; thus, there is a need for better defenses. There are potential solutions to the problem of cyber threats with the help of artificial intelligence (AI) and machine learning (ML), which improve the efficiency of threat detection and system resilience by recognizing anomalies and counteracting threats. This chapter performs a SWOT analysis of the energy sector's existing cybersecurity strategies to determine the strengths, weaknesses, opportunities, and threats. The main recommendations for improvement are increasing the user's awareness, implementing zero-trust architectures, and using AI for innovation. The research underscores that continuous improvement of cybersecurity practices is vital to safeguarding the power grid against emerging threats in the digital age.