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The operations of a smart grid heavily rely on the support of communication infrastructures for efficient electricity management and reliable power distribution. Due to the strong dependency, the robustness of a smart grid communication network against attack is of the utmost importance for the deployment of the smart grid. Notably, the large scale and autonomous features of a smart grid render its cyber security quite vulnerable to adversaries. In this paper, the authors introduce several intelligent attacks and countermeasures in smart grid communication networks, which aim for maximal damage or benefits by taking advantage of the network structure as well as the protocol functionality. They adopt the percolation-based connectivity in statistic mechanics to quantitatively analyze the network robustness.
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