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Updated: Jun 25, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Metadata-Private Resource Allocation in Edge Computing Withstands Semi-Malicious Edge Nodes.

Zihou Zhang1,2, Jiangtao Li1,2, Yufeng Li1

  • 1School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|May 25, 2024
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Summary

This study introduces a secure resource allocation scheme for edge computing, protecting sensitive task metadata using searchable encryption and zero-knowledge proofs against privacy breaches and node corruption.

Keywords:
Internet of Thingsedge computingprivacy-preservingresource allocation

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • Edge computing enhances performance for time-sensitive tasks by offloading computation to nearby nodes.
  • Effective resource allocation requires task metadata, which poses privacy risks.
  • Edge nodes have limited security, making them vulnerable to attacks.

Purpose of the Study:

  • To propose a novel resource allocation scheme for edge computing that ensures metadata privacy and resists node corruption.
  • To address the vulnerabilities associated with sensitive metadata and insecure edge nodes.

Main Methods:

  • Implementing searchable encryption to protect the privacy of task metadata.
  • Utilizing zero-knowledge proofs to ensure security against semi-malicious edge nodes.
  • Developing a metadata privacy resource allocation scheme.

Main Results:

  • The proposed scheme formally satisfies required security concepts.
  • Experimental validation demonstrated the scheme's effectiveness in protecting metadata privacy.
  • The system successfully resists attacks targeting edge nodes and metadata.

Conclusions:

  • The developed scheme offers a robust solution for secure resource allocation in edge computing.
  • It effectively balances computational efficiency with critical privacy and security requirements.
  • This work advances the security of edge computing environments.