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Message sharing scheme based on edge computing in IoV.

Shufen Niu1, Wei Liu1, Sen Yan1

  • 1College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.

Mathematical Biosciences and Engineering : MBE
|December 21, 2023
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Summary
This summary is machine-generated.

This study introduces a secure message-sharing scheme for the Internet of Vehicles (IoV) using edge computing. It enhances data privacy and reduces computational load for vehicles, improving IoV security and efficiency.

Keywords:
Internet of Vehicles (IoV)attribute-based encryptionauthenticationbatch verificationedge computing

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Area of Science:

  • Cybersecurity
  • Wireless Communication
  • Edge Computing

Background:

  • The Internet of Vehicles (IoV) faces challenges in message confidentiality and vehicle privacy due to open cloud environments.
  • Existing attribute-based encryption methods impose significant computational burdens on vehicles.

Purpose of the Study:

  • To propose a novel message-sharing scheme for IoV that addresses security vulnerabilities and computational overhead.
  • To enhance message confidentiality, vehicle identity privacy, and data integrity in IoV networks.

Main Methods:

  • Utilized attribute-based encryption for secure communication.
  • Implemented edge computing by offloading encryption/decryption tasks to roadside units.
  • Employed anonymous identity-based signature technology for message integrity and identity protection.
  • Incorporated batch verification for efficient signature validation.

Main Results:

  • The proposed scheme demonstrates enhanced security for message confidentiality and vehicle identity privacy.
  • Edge computing significantly reduces the computational load on vehicles.
  • Batch verification improves efficiency in handling multiple message signatures.
  • Security is proven secure under the random oracle model based on the computational Diffie-Hellman problem.

Conclusions:

  • The developed message-sharing scheme is computationally efficient and suitable for real-world IoV applications.
  • The integration of edge computing and advanced cryptographic techniques offers a robust solution for IoV security challenges.