Outlier‐resistant state estimation for complex networks with random false data injection attacks under encoding–decoding mechanism

Summary This article focuses on the outlier‐resistant state estimation problem for discrete time‐varying complex networks (TVCNs) affected by random false data injection attacks (FDIAs) under an encoding–decoding mechanism (EDM). From the perspective of information security, a uniform‐quantization‐b...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:International journal of adaptive control and signal processing Ročník 38; číslo 8; s. 2833 - 2854
Hlavní autori: Liu, Yufeng, Hu, Jun, Jia, Chaoqing, Chen, Cai, Chi, Kun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bognor Regis Wiley Subscription Services, Inc 01.08.2024
Predmet:
Algorithms
Coding
complex networks
Data analysis
Data transmission
Decoding
encoding–decoding mechanism
Error analysis
exponential boundedness in mean‐square sense
Impact analysis
Independent variables
Outliers (statistics)
random false data injection attacks
Random variables
State estimation
Upper bounds
ISSN:0890-6327, 1099-1115
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Summary This article focuses on the outlier‐resistant state estimation problem for discrete time‐varying complex networks (TVCNs) affected by random false data injection attacks (FDIAs) under an encoding–decoding mechanism (EDM). From the perspective of information security, a uniform‐quantization‐based EDM is employed to encrypt the transmitted data. During the data transmission process, a set of independent random variables governed by Bernoulli distribution is introduced to characterize the occurrence of random FDIAs. For the purpose of alleviating the passive impact of potential measurement outliers, a saturation structure is adopted during the estimator design. The gain matrix is given by minimizing the upper bound of estimation error covariance. According to the stochastic analysis method, it is shown that the state estimation error is bounded exponentially in mean‐square sense by providing new sufficient condition. It should be noted that we make the first attempt to develop new outlier‐resistant state estimation method with performance evolution criterion in the time‐varying perspective for TVCNs with random FDIAs under EDM. Finally, a simulation example with comparative experiment is presented to illustrate the effectiveness of the newly presented outlier‐resistant estimation algorithm.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0890-6327
1099-1115
DOI:10.1002/acs.3833