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Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization.

Mohammad Zubair Khan1, Arindam Sarkar2, Hamza Ghandorh3

  • 1Department of Computer Science and Information, Taibah University, Medina 42353, Saudi Arabia.

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|February 26, 2022
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Summary
This summary is machine-generated.

This study introduces a novel data fusion security infrastructure for intelligent transportation systems, enhancing security in vehicle-to-everything (V2X) communications. The proposed solution ensures efficient and secure data sharing across diverse networks, improving autonomous vehicle decision-making.

Keywords:
general purpose graphic processing unit (GPGPU)mutual intelligent transportation (MIT)neural synchronizationvehicle-to-everything (V2X)

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Cybersecurity
  • Data Fusion

Background:

  • Automated vehicles rely on information fusion from diverse sources for decision-making.
  • Current vehicle-to-everything (V2X) security frameworks are inadequate for the complex needs of Mutual Intelligent Transportation Systems (MITS).

Purpose of the Study:

  • To develop a robust data fusion security infrastructure for V2X heterogeneous networks.
  • To address the limitations of existing security frameworks in MITS.

Main Methods:

  • Development of a data fusion security infrastructure with adjustable trust levels.
  • Implementation of an area-based Public Key Infrastructure (PKI) architecture accelerated by Graphics Processing Units (GPUs).
  • Utilizing artificial neural synchronization for rapid group key exchange.

Main Results:

  • The proposed mechanism provides efficient and effective security for multi-source, multi-type data sharing in V2X networks.
  • Parametric testing confirmed the solution meets stringent V2X delay requirements.
  • The method demonstrated superior efficiency compared to existing strategies.

Conclusions:

  • The developed data fusion security infrastructure enhances the security and efficiency of V2X communications.
  • The solution is scalable and adaptable to the evolving demands of intelligent transportation.