Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework
This addresses security issues in connected vehicle systems, which is crucial for transportation safety and efficiency, but it appears incremental as it combines existing blockchain and sensing technologies.
The authors tackled the problem of securing connected vehicle applications against cyber and physical attacks by proposing an efficient dual cyber-physical blockchain framework, which demonstrated effectiveness in defending against spoofing, bad mouthing, Sybil, and voting attacks in simulations with low resource overhead.
While connected vehicle (CV) applications have the potential to revolutionize traditional transportation system, cyber and physical attacks on them could be devastating. In this work, we propose an efficient dual cyber-physical blockchain framework to build trust and secure communication for CV applications. Our approach incorporates blockchain technology and physical sensing capabilities of vehicles to quickly react to attacks in a large-scale vehicular network, with low resource overhead. We explore the application of our framework to three CV applications, i.e., highway merging, intelligent intersection management, and traffic network with route choices. Simulation results demonstrate the effectiveness of our blockchain-based framework in defending against spoofing attacks, bad mouthing attacks, and Sybil and voting attacks. We also provide analysis to demonstrate the timing efficiency of our framework and the low computation, communication, and storage overhead for its implementation.