Anonymous-authentication scheme based on fog computing for VANET

Area of Science:

• Computer Science
• Network Security
• Wireless Communication

Background:

• Privacy protection in vehicular ad hoc networks (VANETs) is crucial for secure vehicle communication.
• Existing anonymous authentication schemes face challenges like network congestion and potential master key leakage due to direct vehicle-to-trusted authority (TA) communication and pseudonym updates.

Purpose of the Study:

• To propose a fog-computing-based anonymous-authentication scheme for VANETs.
• To address the limitations of existing schemes, including network congestion and privacy risks associated with TA-centric authentication and pseudonym management.

Main Methods:

• Implemented a fog-computing architecture enabling self-authentication between vehicles and road-side units (RSUs).
• Developed a fog-computing-based pseudonym-updating and -tracking strategy to ensure real-time communication and minimize re-authentication.
• Reduced the communication burden on the trusted authority (TA).

Main Results:

• The proposed scheme effectively protects vehicle privacy within VANETs.
• Achieved improved vehicle-authentication efficiency by reducing TA communication load.
• Demonstrated better performance compared to existing anonymous-authentication schemes.

Conclusions:

• The fog-computing-based scheme offers a viable solution for privacy-preserving authentication in VANETs.
• The approach enhances real-time communication and system security.
• Successfully mitigates network congestion and master key leakage risks.