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Event-triggered distributed secure state estimation for homologous sensor attacks.

Yukun Shi¹, Haixin Ma¹, Jianyong Tuo¹

¹Beijing University of Chemical Technology, China.

ISA Transactions

|September 29, 2023

Summary

This study introduces an event-triggered approach for distributed secure state estimation, reducing communication load. The proposed method ensures bounded estimation error despite network issues, optimizing system security.

Keywords:

Distributed secure state estimation Event-triggered Homologous signal

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Area of Science:

Computer Science
Control Systems Engineering
Network Security

Background:

Network security is crucial for mitigating malicious attacks and ensuring system integrity.
Secure state estimation reconstructs system states by analyzing potential attacks.
Existing distributed secure state estimation methods face high communication loads, especially with homogeneous attacks.

Purpose of the Study:

To propose an event-triggered transmission mechanism for distributed secure state estimation.
To reduce communication overhead in distributed systems while maintaining security.
To ensure bounded estimation error in the presence of communication latency and data disorder.

Main Methods:

Developed an event-triggered approach for distributed secure state estimation.
Designed an observer with constrained and bounded estimation error.
Simulated the mechanism under stable malicious attack signals.

Main Results:

The event-triggered mechanism effectively reduces communication overhead.
System communication adapts to high-frequency and low-frequency periods based on attack signals.
Maximum estimation error is directly proportional to the trigger threshold, enabling performance tuning.

Conclusions:

The proposed event-triggered approach is efficient for distributed secure state estimation.
The method balances communication load reduction with controlled estimation error.
System performance can be precisely tuned by adjusting the trigger threshold for enhanced network security.