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- W4313856723 abstract "Network security is becoming a prominent issue for the development of information technology, and intelligent network attacks pose great challenges to system security due to its strong concealment. The existence of these attacks threatens the operation process of the complicated control system. Motivated by such a security problem, we study the secure distributed filtering algorithm under a kind of complex data integrity attack which can attack in two forms. We design a detection mechanism based on local outlier factor to distinguish the rightness of exchanged data, which determines whether to fuse the estimates by comparing the local density (LD) of the estimation of each sensor. Such a detection mechanism does not need the sensor to transmit redundant data information, thus greatly saving calculation cost and improving transmission efficiency. Meanwhile, we optimize the distributed filtering algorithm and obtain a suboptimal estimation gain. Finally, we demonstrate a numerical example to verify the availability of the filtering algorithm, and explore the influence of detector parameters on the performance of the estimation system." @default.
- W4313856723 created "2023-01-10" @default.
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- W4313856723 date "2023-08-01" @default.
- W4313856723 modified "2023-10-12" @default.
- W4313856723 title "Distributed filtering algorithm based on local outlier factor under data integrity attacks" @default.
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- W4313856723 doi "https://doi.org/10.1016/j.jfranklin.2022.12.047" @default.
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