Lightweight consortium blockchain-enabled secured Vehicular ad Hoc Network using certificateless conditional...

Area of Science:

• Intelligent Transportation Systems
• Computer Networking
• Cybersecurity

Background:

• Location-Based Services (LBS) are crucial for intelligent transportation systems (ITS) but pose privacy risks in Vehicular Ad Hoc Networks (VANETs).
• Existing privacy schemes for VANETs often fail in practical deployment due to compromised system efficiency and high node authentication overhead.
• VANETs are vulnerable to privacy and security attacks due to frequent location data exchange in open environments.

Purpose of the Study:

• To propose a novel Consortium Blockchain assisted Certificateless Conditional Privacy Protection scheme for VANETs.
• To address the challenges of privacy, security, and system efficiency in location-based services within VANETs.
• To enhance the practical deployability of privacy-preserving solutions in intelligent transportation systems.

Main Methods:

• Leveraging consortium blockchain technology for its semi-decentralized and lightweight characteristics.
• Implementing a Certificateless conditional privacy protection scheme to minimize node authentication overhead.
• Developing anonymous regions for vehicles based on specific timestamps to ensure location privacy.

Main Results:

• The proposed scheme demonstrates practicality and resilience against various attack models.
• Achieved an Anonymity Degree Percentage (ADP) of 83% even under maximum malicious attacks.
• Exhibits significant improvements in privacy protection compared to existing state-of-the-art methods.

Conclusions:

• The Consortium Blockchain assisted Certificateless Conditional Privacy Protection scheme effectively enhances location privacy and system efficiency in VANETs.
• The scheme offers a practical and secure solution for privacy concerns in intelligent transportation systems.
• The proposed method shows reduced computational complexity while maintaining robust privacy guarantees.