关键词: 交通数据, 安全防护, 去中心化身份认证, 细粒度访问控制, 端到端加密, 隐私计算

Abstract: Transportation, as a core component of social infrastructure, is closely tied to the data resources within information systems. China, however, continued to face multifaceted challenges to transportation data security. In response to practical needs for protection in this domain, national authorities and industry organizations had already adopted measures in law and regulation, technical protection, and security monitoring. Focusing on the innovative application of Privacy-Enhancing Technologies (PETs) for intelligent transportation data protection, three core technological innovation pathways were systematically reviewed. In the identity-authentication dimension, a distributed authentication framework based on blockchain and zero-knowledge proofs was examined, and system robustness was enhanced by eliminating single points of failure. For access control, a dual-policy attribute-based encryption (DP-ABE) model supporting dynamic revocation was constructed and integrated with fog computing to realize bidirectional policy matching at the data-source and access ends. At the end-to-end encrypted communication layer, the Signal protocol was improved for resistance to quantum attacks and a communication protocol for intelligent transportation terminals was designed. During data processing and analysis, privacy-preserving computation mechanisms were introduced to guarantee that data are “usable but not visible” in federated modeling and collaborative computation, thereby addressing the core tension between extracting value from transportation data and protecting privacy.

Key words: Keywords: Transportation data, Security protection, Decentralized identity authentication, Fine-grained access control, End-to-end encryption, Privacy Computing