In this letter, we present a single mixed-integer linear programming (MILP) model for high-stealth false data attacks (FDAs) on overloading a set of lines by injecting stealthy false data. The proposed model reveals that an intelligent attacker is able to deliberately construct a valid attack vector to overload multiple transmission lines while hiding it among normal data to evade advanced anomaly detection methods. In addition, the proposed cyber-attack mode can help the attacker optimally select the targeted lines. Simulation results on multiple large-scale test systems validate the effectiveness of the proposed approach.

中文翻译：

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针对电力系统多条线路过载的高隐蔽性虚假数据攻击


在这封信中，我们提出了一个单一的混合整数线性规划（MILP）模型，用于通过注入隐秘的虚假数据来超载一组线路的高隐秘虚假数据攻击（FDA）。所提出的模型表明，智能攻击者能够故意构造有效的攻击向量以使多条传输线路过载，同时将其隐藏在正常数据中以逃避高级异常检测方法。此外，所提出的网络攻击模式可以帮助攻击者最佳地选择目标线路。多个大型测试系统的仿真结果验证了所提方法的有效性。