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Event-Triggered Secure State Estimation Under Asynchronous Binary Measurements and External Attacks
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DOI：10.1109/tsmc.2026.3738425.png)
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Abstract
En 中文
Real-time monitoring of large-scale systems is critical in practical applications. However, its implementation becomes challenging when transmission bandwidth is limited and external disturbances, such as noise and cyberattacks, are present. To address such challenges, we propose a secure state estimator that operates with limited data over asynchronous binary sensor networks in the presence of external attacks. Specifically, binary sensors are promising since they transmit only 1 bit at each time instant, thereby incurring low communication overhead. An event-triggered mechanism is further introduced to reduce the frequency of data transmission. By leveraging measurement-switching-based and innovation-based data extraction strategies, an attack detector and a data consistency extractor are codesigned at the fusion center to defend against external attacks, after which the secure state estimator is implemented. The stability of the estimator is established through matrix inequalities and stochastic analysis. Finally, benchmark simulations and a mobile robot localization case study are provided to validate the effectiveness of our approach. The results show that the proposed estimator preserves monitoring resilience while reducing both communication and computational burdens compared with existing solutions.
Keywords:
Asynchronous communication
binary sensor networks
event-triggered mechanism
external attacks
secure state estimation
Journal
I
IF:
8.7
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179
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0
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