A Blockchain-Based Byzantine Consensus Algorithm for Information Authentication of the Internet of Vehicles

This paper attempts to solve the security problems in communication, consensus-making and authentication of nodes in the Internet of vehicles (IoV) for intelligent transport. Considering the defects of the central node and service complexity in the IoV, the blockchain was integrated with the IoV to create a decentralized mechanism for communication and consensus-making. In the architecture of the blockchain-based IoV, the Byzantine consensus algorithm based on time sequence and gossip protocol is used to complete information communication and consensus authentication, which not only ensures communication security, improves the consensus efficiency of nodes, but also improves the fault tolerance of the algorithm. The experimental results show that our algorithm outshined the traditional authentication method in information security and consensus efficiency of the IoV. The research findings provide a reference solution to the authentication problems in the IoV for intelligent transport.

[1]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[2]  Fei Li,et al.  A Set of Experience-Based Smart Synergy Security Mechanism in Internet of Vehicles , 2019, Cybern. Syst..

[3]  Kamal Youcef-Toumi,et al.  Context-Aware Gossip-Based Protocol for Internet of Things Applications , 2018, Sensors.

[4]  Qinglei Kong,et al.  A privacy-preserving sensory data sharing scheme in Internet of Vehicles , 2017, Future Gener. Comput. Syst..

[5]  Martin C. Cooper,et al.  The epistemic gossip problem , 2019, Discret. Math..

[6]  Dong In Kim,et al.  Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory , 2018, IEEE Transactions on Vehicular Technology.

[7]  Naixue Xiong,et al.  A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities , 2019, Future Gener. Comput. Syst..

[8]  Shaoshuai Mou,et al.  Request-Based Gossiping without Deadlocks , 2018, Autom..

[9]  Danna Zhou,et al.  d. , 1934, Microbial pathogenesis.

[10]  Nir Kshetri,et al.  Can Blockchain Strengthen the Internet of Things? , 2017, IT Professional.

[11]  Sungrae Cho,et al.  New Challenges of Wireless Power Transfer and Secured Billing for Internet of Electric Vehicles , 2019, IEEE Communications Magazine.

[12]  Yingfeng Zhang,et al.  An ‘Internet of Things’ enabled dynamic optimization method for smart vehicles and logistics tasks , 2019, Journal of Cleaner Production.

[13]  Xiang Wei,et al.  A deep learning based energy-efficient computational offloading method in Internet of vehicles , 2019, China Communications.

[14]  Felix Wortmann,et al.  Internet of Things , 2015, Business & Information Systems Engineering.

[15]  Giancarlo Fortino,et al.  Data-driven clustering for multimedia communication in Internet of vehicles , 2019, Future Gener. Comput. Syst..

[16]  Martin White,et al.  Internet of Things, Blockchain and Shared Economy Applications , 2016, EUSPN/ICTH.

[17]  Melanie Swan,et al.  Blockchain Thinking : The Brain as a Decentralized Autonomous Corporation [Commentary] , 2015, IEEE Technol. Soc. Mag..

[18]  Jian Li,et al.  Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network , 2019, Future Gener. Comput. Syst..

[19]  Reza Malekian,et al.  Internet of Vehicles Based Approach for Road Safety Applications Using Sensor Technologies , 2019, Wirel. Pers. Commun..

[20]  Lien-Wu Chen,et al.  Centimeter-Grade Metropolitan Positioning for Lane-Level Intelligent Transportation Systems Based on the Internet of Vehicles , 2019, IEEE Transactions on Industrial Informatics.