传感器攻击下的快速状态估计：一种传感器分类方法
Fast state estimation under sensor attacks: a senor categorization approach
摘要：
在传感器网络中，一些传感器通常提供相同或等效的测量信息，现有的抗稀疏传感器攻击的安全状态估计方法没有考虑这些测量信息，使得这些方法的计算效率需要进一步提高。本文考虑传感器量测的观测等价性，在等价类的基础上引入解析传感器类型的概念，提出了一种快速状态估计算法。通过测试传感器类型的测量数据，可以提取攻击位置信息，以排除一些不匹配的搜索候选，而不会损失估计的正确性。这证实了所提出的算法的高速性能，因为传感器类型的数量通常远小于传感器的数量。
英文摘要：
In a sensor network, some sensors usually provide the same or equivalent measurement information, which is not taken into account by the existing secure state estimation methods against sparse sensor attacks such that the computational efficiency of these methods needs to be further improved. In this paper, by considering the observation equivalence of sensor measurement, a concept of analytic sensor types is introduced based on the equivalent class to develop a fast state estimation algorithm. By testing the measurement data of a sensor type, the attack location information can be extracted to exclude some mismatching search candidates, without loss of estimation correctness. This confirms high speed performance of the proposed algorithm, since the number of sensor types is usually far less than the number of sensors.
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