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Related Experiment Video

Updated: Jun 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Zero-determinant strategy for distributed state estimation against eavesdropping attacks.

Yan Yu1, Wen Yang1, Jialing Chen1

  • 1Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai 200237, China.

Chaos (Woodbury, N.Y.)
|December 2, 2024
PubMed
Summary
This summary is machine-generated.

Sensors in distributed networks face security risks from eavesdroppers. This study uses game theory and zero-determinant (ZD) policies for sensors to strategically manage data encryption and protect privacy against energy-constrained adversaries.

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Area of Science:

  • Cybersecurity
  • Distributed Systems
  • Game Theory

Background:

  • Wireless sensor networks transmit state estimates, risking interception by eavesdroppers.
  • Data encryption is energy-intensive, forcing sensors with limited power to choose when to encrypt.
  • Eavesdroppers also face energy constraints, influencing their interception strategies.

Purpose of the Study:

  • To propose a game-theoretic approach to address the security dilemma in distributed state estimation.
  • To introduce a defense strategy using zero-determinant (ZD) policies for enhanced data privacy.
  • To analyze optimal strategies for sensors to maximize their utility while minimizing eavesdropper payoff.

Main Methods:

  • Modeling the interaction between sensors and eavesdroppers as an iterative game.
  • Applying zero-determinant (ZD) strategies for protecting channel and node data.
  • Analyzing sensor strategies for unilateral control over eavesdropper payoffs and correlation.

Main Results:

  • Sensors can unilaterally set eavesdropper expected payoffs using ZD strategies.
  • ZD policies enable sensors to coerce a positive correlation with their own expected payoffs.
  • Optimal sensor strategies were analyzed to maximize utility irrespective of eavesdropper actions.

Conclusions:

  • The proposed game-theoretic approach and ZD policies offer effective defense mechanisms for distributed state estimation.
  • Sensors can strategically balance energy consumption for encryption against security risks.
  • Numerical simulations validate the feasibility and effectiveness of the developed defense strategies.