BcDKM: Blockchain-Based Dynamic Key Management Scheme for Crowd Sensing in Vehicular Sensor Networks.

Area of Science:

• Computer Science
• Network Security
• Distributed Systems

Background:

• Vehicular sensor networks (VSNs) enable resource sharing in vehicular clouds (VCs) for crowd-sensing.
• Dynamic mobility in VSNs creates challenges for secure and scalable group communication.

Purpose of the Study:

• To propose a secure and scalable group communication scheme for VSNs.
• To address the challenges of dynamic member management and key agreement in vehicular clouds.

Main Methods:

• Introduced CGKAwAM, an extension of continuous group key agreement with administrator mechanism.
• Developed BcDKM, a blockchain-based dynamic key management scheme using CGKAwAM.
• Leveraged roadside units (RSUs) as blockchain nodes for decentralized management.

Main Results:

• CGKAwAM supports flexible member management with multiple administrators.
• BcDKM enables asynchronous joins/leaves with communication round optimality.
• Security analysis confirmed known-key security, forward secrecy, post-compromise security, and vehicle privacy.
• Experimental evaluations show BcDKM is practical with a good security-performance tradeoff.

Conclusions:

• BcDKM provides a practical and secure solution for group communication in VSNs.
• Decentralized management using RSUs enhances scalability without central servers.