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Stealth Attacks and Protection Schemes for State Estimators in Power Systems

机译:电力系统状态估计器的隐身攻击和保护方案

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State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control centers, and large numbers of measurements are sent over unencrypted communication channels to the centers. We here study stealthy false-data attacks against these estimators. We define a security measure tailored to quantify how hard attacks are to perform, and describe an efficient algorithm to compute it. Since there are so many measurement devices in these systems, it is not reasonable to assume that all devices can be made encrypted overnight in the future. Therefore we propose two algorithms to place encrypted devices in the system such as to maximize their utility in terms of increased system security. We illustrate the effectiveness of our algorithms on two IEEE benchmark power networks under two attack and protection cost models.
机译:电力系统中的状态估计器当前被用于例如检测故障设备并路由功率流。可以相信,状态估计器在未来的智能电网中也将扮演越来越重要的角色,作为优化和更动态地路由潮流的工具。因此,估计器的安全性成为重要的问题。估计器当前位于控制中心,并且大量测量值通过未加密的通信通道发送到中心。我们在这里研究针对这些估计量的隐式虚假数据攻击。我们定义了一种安全措施,旨在量化攻击的执行程度,并描述一种有效的算法来对其进行计算。由于这些系统中有许多测量设备,因此假设将来所有设备都可以在一夜之间进行加密是不合理的。因此,我们提出了两种算法来将加密设备放置在系统中,以便在提高系统安全性方面最大化其实用性。我们在两个攻击和保护成本模型下说明了我们的算法在两个IEEE基准电源网络上的有效性。

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