About this Research Topic
The integration of advanced technologies into the energy sector has led to the emergence of smart grids, which promise enhanced efficiency, reliability, and sustainability in electricity distribution. However, this evolution also introduces increased vulnerability to cyber-physical attacks, threatening the stability and security of energy systems worldwide. As these grids become more interconnected and dependent on digital technologies, the potential impact of cyber-physical threats escalates, necessitating robust defense strategies. Enhancing resilience in smart grids involves not only fortifying them against attacks but also ensuring they can recover swiftly and continue operations under adverse conditions.
The primary objective of this Research Topic is to address the escalating challenge of ensuring the resilience of smart grids against both cyber and physical threats in an era where energy systems are increasingly interconnected and reliant on digital technologies. This challenge is not only technical but also strategic, encompassing the need for comprehensive security solutions that can adapt to evolving threats. The latest advancements in artificial intelligence (AI), machine learning (ML), and simulation technologies present promising avenues for augmenting the security and resilience of cyber-physical systems (CPS) in smart grids. These technologies offer the potential to predict and mitigate attacks before they can cause significant damage, ensuring the grid's stability and reliability.
To achieve the goal, contributions are sought that explore innovative approaches to security, from the development of advanced simulation models that can accurately predict attack vectors and their impacts on grid operations, to the implementation of adaptive defense strategies that can autonomously evolve in response to new threats. Furthermore, research that bridges the gap between theoretical models and practical applications, demonstrating real-world effectiveness and feasibility of proposed solutions, is particularly valuable. By harnessing recent technological advances and fostering collaboration across disciplines, this research aims to explore innovative approaches to enhancing smart grid resilience against cyber-physical attacks. Some specific themes that potential contributors can address may include, but are not limited to:
1. Integration of cybersecurity and physical security measures for comprehensive protection.
2. Advanced simulation techniques for identifying vulnerabilities and predicting attack scenarios.
3. Adaptive defense strategies that evolve with emerging threats to smart grids.
4. Application of machine learning and AI in the detection, analysis, and neutralization of threats.
5. Case studies on successful defense implementations and recovery strategies in smart grids.
6. Policy and regulatory frameworks that support the development and adoption of resilient smart grid technologies.
The primary objective of this Research Topic is to address the escalating challenge of ensuring the resilience of smart grids against both cyber and physical threats in an era where energy systems are increasingly interconnected and reliant on digital technologies. This challenge is not only technical but also strategic, encompassing the need for comprehensive security solutions that can adapt to evolving threats. The latest advancements in artificial intelligence (AI), machine learning (ML), and simulation technologies present promising avenues for augmenting the security and resilience of cyber-physical systems (CPS) in smart grids. These technologies offer the potential to predict and mitigate attacks before they can cause significant damage, ensuring the grid's stability and reliability.
To achieve the goal, contributions are sought that explore innovative approaches to security, from the development of advanced simulation models that can accurately predict attack vectors and their impacts on grid operations, to the implementation of adaptive defense strategies that can autonomously evolve in response to new threats. Furthermore, research that bridges the gap between theoretical models and practical applications, demonstrating real-world effectiveness and feasibility of proposed solutions, is particularly valuable. By harnessing recent technological advances and fostering collaboration across disciplines, this research aims to explore innovative approaches to enhancing smart grid resilience against cyber-physical attacks. Some specific themes that potential contributors can address may include, but are not limited to:
1. Integration of cybersecurity and physical security measures for comprehensive protection.
2. Advanced simulation techniques for identifying vulnerabilities and predicting attack scenarios.
3. Adaptive defense strategies that evolve with emerging threats to smart grids.
4. Application of machine learning and AI in the detection, analysis, and neutralization of threats.
5. Case studies on successful defense implementations and recovery strategies in smart grids.
6. Policy and regulatory frameworks that support the development and adoption of resilient smart grid technologies.
Keywords: smart grid resilience, cyber-physical system security, cybersecurity strategies, energy infrastructure robustness, real-time monitoring and response
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
