A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud

Autor: Mohsen Guizani, Gaojian Zhang, Rong Sun, Xiaojiang Du, Jingwei Liu
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: ICC
Popis: As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is playing an important role in the field of intelligent transportation. In such a system, vehicles are allowed to collect ambient sensing data and communicate with other vehicles, roadside infrastructure, cloud server, even personal mobile smart devices in order to exchange the relevant traffic information that usually includes the owners' sensitive information, such as geographical location or personally identifiable information. However, in open network environment, different wireless communication technologies make all these information vulnerable to various attacks and compromises. The users' private information is put at the risk of leaking at any time. To address this issue, a blockchain-based privacy-preserving traffic data sharing protocol with cloud storage is proposed based on a novel heterogeneous signcryption scheme between Public Key Infrastructure (PKI) and Certificateless Cryptosystem (CLC). Through theoretical and simulation analysis in terms of security, complexity and time consumption, the proposed traffic data sharing protocol is proved to meet the security requirements of data tamper-proofing, anonymity and traceability with higher efficiency. This work is supported by the Key Industry Innovation Chain Project of Shaanxi (No. 2019ZDLGY13-05, No.
Databáze: OpenAIRE