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Distributed secure estimation for interconnected systems against eavesdropping under energy harvesting constrained
Shuqi Chen1, Daniel W C Ho2, Zhongyao Hu3
1College of Engineering, Ocean University of China, Qingdao 266404, China.
ISA Transactions
|May 23, 2025
Summary
This study introduces a novel encryption method for distributed secure estimation, protecting system states from eavesdroppers using energy harvesting sensors. The approach ensures user data security while degrading eavesdropper performance.
Area of Science:
- Control Systems Engineering
- Information Security
- Signal Processing
Background:
- Distributed systems face security challenges from eavesdroppers intercepting measurement data.
- Existing methods may not be resource-efficient for privacy protection in sensor networks.
Purpose of the Study:
- To develop a resource-efficient, encryption-based model for distributed secure estimation.
- To ensure bounded estimation error for legitimate users while hindering eavesdroppers.
Main Methods:
- Proposed an encryption-decryption model utilizing energy harvesting sensors.
- Jointly designed energy-based encryption matrices and estimator parameters.
- Analyzed the influence of energy levels and encryption on estimation performance.
Main Results:
- Achieved bounded estimation error covariances for users.
- Deteriorated the estimation performance of collaborating eavesdroppers.
- Demonstrated the impact of energy availability and encryption strategies.
Conclusions:
- The proposed model effectively balances user estimation performance with enhanced security against eavesdropping.
- Validated through numerical simulations in a multi-target tracking scenario.
Keywords:
Distributed secure estimationEavesdroppingEncryption–decryption mechanismEnergy harvestingInterconnected systemsMore Related Videos
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