Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin

• URL: http://arxiv.org/abs/2205.11783v2
• Date: Mon, 07 Jul 2025 05:28:14 GMT
• Title: Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
• Authors: Tianming Zheng, Ping Yi, Yue Wu,
• Abstract summary: As a national critical infrastructure, the smart grid has attracted widespread attention for its cybersecurity issues.<n>The development towards an intelligent, digital, and Internet-connected smart grid has attracted external adversaries for malicious activities.<n>As an emerging technology, digital twin (DT) is considered as an enabler for enhanced security.
• Score: 3.7613722491321213
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: As a national critical infrastructure, the smart grid has attracted widespread attention for its cybersecurity issues. The development towards an intelligent, digital, and Internet-connected smart grid has attracted external adversaries for malicious activities. It is necessary to enhance its cybersecurity by both improving the existing defense approaches and introducing novel developed technologies to the smart grid context. As an emerging technology, digital twin (DT) is considered as an enabler for enhanced security. However, the practical implementation is quite challenging. This is due to the knowledge barriers among smart grid designers, security experts, and DT developers. Each single domain is a complicated system covering various components and technologies. As a result, works are needed to sort out relevant contents so that DT can be better embedded in the security architecture design of smart grid. In order to meet this demand, our paper covers the above three domains, i.e., smart grid, cybersecurity, and DT. Specifically, the paper i) introduces the background of the smart grid; ii) reviews external cyber attacks from attack incidents and attack methods; iii) introduces critical defense approaches in industrial cyber systems, which include device identification, vulnerability discovery, intrusion detection systems (IDSs), honeypots, attribution, and threat intelligence (TI); iv) reviews the relevant content of DT, including its basic concepts, applications in the smart grid, and how DT enhances the security. In the end, the paper puts forward our security considerations on the future development of DT-based smart grid. The survey is expected to help developers break knowledge barriers among smart grid, cybersecurity, and DT, and provide guidelines for future security design of DT-based smart grid.

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