ASPA: Advanced Strong Pseudonym based Authentication in Intelligent Transport System.

Area of Science:

• Intelligent Transport Systems (ITS)
• Wireless Communication Security
• Vehicular Ad Hoc Networks (VANETs)

Background:

• Intelligent Transport Systems (ITS) rely on IEEE 802.11p for vehicle communication, creating security and privacy challenges.
• Ensuring confidentiality, authentication, integrity, and privacy is crucial for reliable ITS.
• Existing methods struggle to balance security with the need for vehicle identity protection.

Purpose of the Study:

• To propose a robust and efficient distributed framework for securing vehicle communications in ITS.
• To address the critical security and privacy issues in wireless vehicle networks.
• To ensure vehicle privacy by preventing the revelation of real identities.

Main Methods:

• Introduction of Advanced Strong Pseudonym based Authentication (ASPA), a distributed framework.
• Secure assignment and distributed storage of vehicle pseudonyms to prevent linkability.
• Implementation of a dynamic Certificate Revocation List (CRL) for efficient revocation of malicious vehicle pseudonyms.

Main Results:

• ASPA ensures that only vehicles with valid pseudonyms can communicate, enhancing network security.
• The distributed storage of pseudonym mappings prevents linking real identities.
• Empirical results demonstrate ASPA's robustness and efficiency, showing low computational cost, overhead, and latency, with an increased delivery ratio.

Conclusions:

• ASPA effectively handles security and privacy challenges in ITS vehicle communications.
• The framework guarantees privacy preservation during pseudonym mapping and revocation.
• ASPA offers a reliable and trustworthy solution for secure and private vehicular communication.