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Updated: Jul 3, 2025

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MESMERIC: Machine Learning-Based Trust Management Mechanism for the Internet of Vehicles.

Yingxun Wang1,2, Adnan Mahmood3, Mohamad Faizrizwan Mohd Sabri1

  • 1Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia.

Sensors (Basel, Switzerland)
|February 10, 2024
PubMed
Summary

A new machine learning model, MESMERIC, enhances Internet of Vehicles (IoV) security by accurately identifying malicious vehicles. This trust management mechanism improves road safety and traffic flow in smart cities.

Keywords:
Internet of Vehiclescontextdirect trustindirect trustmachine learningoptimal decision boundarytrust management mechanism

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Area of Science:

  • Cybersecurity
  • Transportation Engineering
  • Artificial Intelligence

Background:

  • The Internet of Vehicles (IoV) is crucial for smart cities, enabling vehicle-to-everything communication for enhanced road safety and traffic management.
  • Reliable exchange of safety-critical information is paramount in IoV networks; compromised trust can jeopardize the entire system.
  • Existing trust mechanisms are insufficient for effectively identifying and removing malicious entities in dynamic IoV environments.

Purpose of the Study:

  • To propose a novel machine learning-based trust management mechanism for IoV networks.
  • To enhance the reliability and security of safety-critical message dissemination within IoV systems.
  • To effectively distinguish trustworthy vehicles from malicious ones to ensure network integrity.

Main Methods:

  • Developed MESMERIC, a trust management mechanism integrating direct trust (interaction success, similarity, familiarity, reward/punishment), indirect trust (neighboring node confidence), and context (vehicle type, scenarios).
  • Utilized machine learning to establish an optimal decision boundary for classifying vehicle trust levels.
  • Conducted comprehensive evaluations comparing MESMERIC against existing state-of-the-art trust management mechanisms.

Main Results:

  • MESMERIC accurately ascertains vehicle trust within IoV networks.
  • The mechanism effectively segregates trustworthy vehicles from untrustworthy ones.
  • Evaluations demonstrate MESMERIC's superior performance compared to other leading trust management approaches.

Conclusions:

  • The proposed MESMERIC mechanism offers a robust solution for trust management in IoV.
  • Implementing MESMERIC can significantly improve the security and reliability of IoV networks.
  • This approach contributes to safer navigation and more intelligent traffic flows in smart city environments.