Research on User Data Protection for Electric-driven Bicycle

• Published in: Journal of physics. Conference series Vol. 2717; no. 1; pp. 12043 - 12052
• Main Authors: Duan, KunLun, Han, WenBao, Ou, Wei
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2024
• Subjects: Artificial intelligence; Authentication; Bicycles; Blockchain; Cloud computing; Cryptography; Cybersecurity; Data integrity; Federated learning; Internet of Things; Leakage; Mathematical models; Parameters
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2717/1/012043

Abstract Under the fast growth of new industries such as the Internet of Things, cloud computing, and artificial intelligence, the shared electric-driven bicycle has proved its great market competitiveness as a product of the era of mobile internet and sharing economy. However, the frequent interaction of large-scale data and the cross-fertilization of massively stored information have exposed a series of problems such as user privacy leakage, data island, imperfect credit systems, etc. For this objective, a data security protection model for shared electric-driven bicycles has been developed. To replace the centralized update mechanism and Blockchain technology, the model uses SM2 and Blockchain identity authentication protocols, decentralized cryptographic storage and multi-factor authentication, asynchronous federated learning mechanism, and distributed end-to-end parameter update mechanism. The experimental results show that the adoption of this data protection model can effectively resist replay attacks and prevent attackers from decrypting user identity information offline. It can also mitigate the risk of parameter leakage caused by centralized servers and establish a secure and trustworthy distributed data sharing mechanism for users of the shared electric-driven bicycle network.