IEEE Transactions on Smart Grid · 2020 · 227 citations · 28 references
ComputingCloud ComputingCybersecurityComputer SecurityCyber-physical SystemsInternet Of ThingsCyber-physical SecurityCyber-physical Systems ArchitectureDigital Twin DesignMicrogridsSmart Grid SystemsSmart GridsCoordinated AttacksCyber-physical Attack ResilienceCyber-physical ResilienceCyber-physical System SecurityDigital Twin ArchitectureDigital Twin ModelingFalse Data Injection AttacksPower System Cybersecurity
The increased rate of cyber-attacks on the power system necessitates the need for innovative solutions to ensure its resiliency. This work builds on the advancement in the IoT to provide a practical framework that is able to respond to multiple attacks on a network of interconnected microgrids. This paper provides an IoT-based digital twin (DT) of the cyber-physical system that interacts with the control system to ensure its proper operation. The IoT cloud provision of the energy cyber-physical and the DT are mathematically formulated. Unlike other cybersecurity frameworks in the literature, the proposed one can mitigate an individual as well as coordinated attacks. The framework is tested on a distributed control system and the security measures are implemented using cloud computing. The physical controllers are implemented using single-board computers. The practical results show that the proposed DT is able to mitigate the coordinated false data injection and the denial of service cyber-attacks.
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Digital Twin in Industry: State-of-the-Art
Fei Tao, He Zhang, Ang Liu et al. · IEEE Transactions on Industrial Informatics · 2019 · 3.8K citations
Engineering, Industrial Engineering, Manufacturing Engineering +17
Huaguang Zhang, Sunghyok Kim, Qiuye Sun et al. · IEEE Transactions on Smart Grid · 2016 · 309 citations
Engineering, Electrical Engineering, Distributed Systems +16