Efficient Authentication Scheme for 5G-Enabled Vehicular Networks Using Fog Computing

Area of Science:

• Computer Science
• Network Security
• Vehicular Communications

Background:

• Existing conditional privacy-preserving authentication (CPPA) systems for 5G vehicle networks face challenges with expensive roadside units and high communication/processing costs.
• These limitations hinder the widespread adoption and efficiency of secure authentication in vehicular environments.

Purpose of the Study:

• To propose a novel CPPA method leveraging fog computing (FC) to address the cost and efficiency issues in 5G-enabled vehicle networks.
• To enhance security and privacy while reducing the operational burden on vehicular communication systems.

Main Methods:

• A fog computing-based CPPA (FC-CPPA) method is proposed, utilizing a fog server to pre-load public anonymity identities and signature keys into vehicles.
• Security is rigorously analyzed within a random oracle model to ensure robustness against various threats.

Main Results:

• The proposed FC-CPPA method achieves compliance with confidentiality and security standards, demonstrating resistance to diverse security threats.
• Demonstrated significantly reduced communication costs (84 bytes) and computation costs (0.0031 for signing, 2.0185 for verification).

Conclusions:

• The FC-CPPA method offers an efficient and cost-effective solution for secure authentication in 5G vehicle networks.
• The proposed approach presents a viable alternative to existing CPPA systems, offering substantial savings in communication and computation resources.