物流大数据中支持属性撤销的访问控制机制

物流大数据中包括顾客信息、物流状态等信息,对物流公司、制造商、经销商等企业都有着重要的作用.然而,物流大数据的泄露会给用户和物流公司带来严重的安全隐患.为了有效、安全地将这些数据分发给制造商、营销商等企业用户使用,本文基于可信审计中心和密文策略基于属性的加密技术,提出了一种支持属性撤销的细粒度访问控制方案.安全分析表明,所提方案可以实现细粒度访问控制、隐私保护和安全属性撤销.

An Access Control Scheme with Attribute Revocation for Logistics Big Data

Logistics big data, which contains information such as customer profile and logistic status, is of great use for logistics companies, manufacturers, dealers and other enterprises. Nevertheless, leak of logistics big data may bring serious security risk to the customer and the logistics company. To ensure that the logistics big data is securely and effectively delivered to enterprise users such as manufacturers and dealers, a fine-grained access control scheme with attribute revocation is proposed in this paper, based on the audit center and CP-ABE (ciphertext policy attribute-based encryption) technology. A security analysis demonstrates that the proposed scheme can achieve fine-grained access control, collusion resistance, privacy preservation and secure attribute revocation.