Privacy-Preserving Authentication Using a Double Pseudonym for Internet of Vehicles

Area of Science:

• Computer Science
• Transportation Engineering
• Cybersecurity

Background:

• The Internet of Vehicles (IoV) is crucial for smart transportation, enhancing safety and emergency management.
• Security and privacy of messages exchanged between vehicles and roadside units (RSUs) are critical research areas.
• Existing authentication schemes often suffer from high computational and communication burdens.

Purpose of the Study:

• To propose a novel, efficient authentication scheme for the Internet of Vehicles.
• To address the security and privacy challenges in IoV message broadcasting.
• To reduce the computational and communication overhead compared to existing methods.

Main Methods:

• Utilizing a double pseudonym method to obscure vehicle identities.
• Implementing dynamic update technology for tamper-proof devices (TPDs).
• Periodically updating sensitive information within TPDs to prevent side-channel attacks.

Main Results:

• The proposed scheme effectively hides real vehicle identities.
• Dynamic updates enhance resistance against side-channel attacks.
• The scheme demonstrates superior performance due to the absence of bilinear pairing, reducing computation and communication overhead.

Conclusions:

• The novel authentication scheme offers improved security and privacy for IoV.
• Its efficiency makes it highly suitable for practical implementation in smart transportation systems.
• This approach provides a more viable solution for IoV security challenges.