Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Area of Science:

• Intelligent Transportation Systems
• Network Security
• Smart City Technologies

Background:

• Vehicular ad hoc networks (VANETs) are crucial for intelligent traffic management in smart cities.
• Smart road-tolling systems face challenges in balancing vehicle location privacy and preventing driver misconduct.
• Existing systems struggle to simultaneously secure geographical location privacy and deter toll violations.

Purpose of the Study:

• To propose a reliable road-tolling system with integrated trustworthiness evaluation.
• To guarantee secure vehicle location privacy within intelligent transportation systems.
• To prevent malicious vehicles from engaging in tolling violations.

Main Methods:

• Encrypting vehicle route privacy information and uploading it to roadside units (RSUs).
• Forwarding encrypted data from RSUs to the traffic control center for tolling and analysis.
• Utilizing trustworthiness evaluation to assess vehicle attributes and detect improper behavior.
• Cross-referencing RSU data with video surveillance for enhanced detection of violations.

Main Results:

• The proposed system effectively secures vehicle location privacy.
• Malicious vehicles are successfully prevented from committing tolling violations.
• The trustworthiness evaluation comprehensively assesses vehicle attributes.
• Security analysis and simulations confirm enhanced robustness over existing methods.

Conclusions:

• The developed road-tolling system offers a reliable solution for intelligent transportation.
• It successfully addresses the dual challenge of privacy preservation and violation prevention.
• The system demonstrates superior robustness and security in simulated environments.