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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
Distributed secure estimationEavesdroppingEncryption–decryption mechanismEnergy harvestingInterconnected systems

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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.