Blockchain-Assisted Privacy-Preserving and Context-Aware Trust Management Framework for Secure Communications in...

Area of Science:

• Computer Science
• Network Security
• Cybersecurity

Background:

• Vehicular ad hoc networks (VANETs) are crucial for traffic efficiency and safety but are vulnerable to malicious vehicles spreading false information.
• Existing trust management schemes in VANETs lack authentication and context-awareness, failing to meet security and privacy requirements.
• Malicious broadcasts can cause accidents, necessitating robust methods for verifying sender authenticity and message trustworthiness.

Purpose of the Study:

• To propose a novel blockchain-assisted framework for privacy-preserving and context-aware trust management in VANETs.
• To address the limitations of existing schemes by incorporating robust authentication and adaptability to dynamic network conditions.
• To enhance the security, privacy, and efficiency of vehicular communications against malicious attacks.

Main Methods:

• Development of a blockchain-assisted privacy-preserving authentication scheme for anonymous and mutual authentication of vehicular nodes and messages.
• Implementation of a context-aware trust management scheme to evaluate sender trustworthiness and detect malicious activities.
• Integration of authentication and trust management into a unified framework adaptable to various VANET contexts.

Main Results:

• The proposed framework enables anonymous and mutual authentication, enhancing VANET security and privacy.
• The context-aware trust management effectively identifies and eliminates malicious vehicles and their bogus messages.
• Simulation results demonstrate superior performance compared to baseline schemes in terms of security, efficiency, and robustness.

Conclusions:

• The novel blockchain-assisted framework significantly improves VANET security and privacy.
• The system's context-awareness and adaptability make it practical for diverse and dynamic VANET environments.
• The proposed solution offers a secure, effective, and robust approach to enhancing vehicular communication safety.