Blockchain-based secure and trusted data sharing scheme for autonomous vehicle underlying 5G

【Author】 Kakkar, Riya; Gupta, Rajesh; Agrawal, Smita; Tanwar, Sudeep; Sharma, Ravi

【Source】JOURNAL OF INFORMATION SECURITY AND APPLICATIONS

【影响因子】4.960

【Abstract】This paper proposes a blockchain-based secure and reliable data sharing scheme for autonomous vehicles (AVs). It aims to secure data sharing among AVs. We integrate the fifth-generation (5G) communication network with the proposed blockchain-based scheme to enable ultra-low latency, high reliability, and availability. We have incorporated the edge intelligence nodes (EINs) with blockchain for efficient data processing. We have used a random forest classifier model (RFCM) on the road accidents dataset to predict the accident severity, i.e., fatal, serious, and slight. It is based on road type, light condition, and vehicle movement to be shared among other AVs. We have considered various scenarios and performed the predictive analysis that needs to be secured by using blockchain technology. Results of the study demonstrate the accuracy of RFCM as 93%, the precision of 98%, 97%, and 87% for fatal, serious, and slight categories of accident severity, respectively. The results show that the proposed scheme with RFCM yields better accuracy of 93% than other existing classification algorithms such as Decision tree, Naive Bayes, and AdaBoost. The blockchain-based proposed system has been compared with the traditional approach based on parameters such as network latency, scalability, computation time, delay comparison for node validation, data storage latency, and data storage cost. Obtained results show that the proposed scheme enables the data sharing reliable, secure, and efficient for AVs and outperforms the blockchain and non-blockchain systems in terms of security and efficiency.

【Keywords】Blockchain; Random forest; Latency; Scalability; Edge intelligence; 5G

【发表时间】2022 JUN

【收录时间】2022-08-15

【文献类型】实证数据

【主题类别】

区块链应用-实体经济-交通领域