论文标题
传感器攻击下的快速状态估计：一种参数分类方法
Fast state estimation under sensor attacks: a senor categorization approach
论文作者
论文摘要
在传感器网络中，某些传感器通常提供相同或同等的测量信息，而现有的安全状态估计方法不考虑稀疏传感器攻击，因此必须进一步提高这些方法的计算效率。在本文中，通过考虑传感器测量的观察等效性，基于等效类别引入了分析传感器类型的概念，以开发快速状态估计算法。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某些不匹配的搜索候选者，而不会丢失估计正确性。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数量。
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.
