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Error Propagation after Reordering Attacks on Hierarchical State Estimation

Abstract : State estimation is vital to the stability of control systems, especially in power systems, which rely heavily on measurement devices installed throughout wide-area power networks. Several researchers have analyzed the problems arising from bad data injection and topology errors, and have proposed protection and mitigation schemes. This chapter employs hierarchical state estimation based on the common weighted-least-squares formulation to study the propagation of faults in intermediate and top-level state estimates as a result of measurement reordering attacks on a single region in the bottom level. Although power grids are equipped with modern defense mechanisms such as those recommended by the ISO/IEC 62351 standard, reordering attacks are still possible. This chapter concentrates on how an inexpensive data swapping attack in one region in the lower level can influence the accuracy of other regions in the same level and upper levels, and force the system towards undesirable states. The results are validated using the IEEE 118-bus test case.
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Ammara Gul, Stephen Wolthusen. Error Propagation after Reordering Attacks on Hierarchical State Estimation. 12th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2018, Arlington, VA, United States. pp.67-79, ⟨10.1007/978-3-030-04537-1_4⟩. ⟨hal-02076306⟩

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