基于大宇宙和可追踪属性加密的云计算高效数据访问控制

G. Kumar
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引用次数: 1

摘要

基于密文策略属性的加密(CP-ABE)方案为存储在云计算机中的数据提供了细粒度的访问控制。然而,商业CP-ABE应用程序需要一种新的加密方案来提供两个属性,如:支持大范围属性和可追溯性。首先,大的宇宙属性允许属性权限使用系统中任意数量的属性。也就是说,属性范围是动态的,并且在设置阶段不是固定的。其次,可追踪的CP-ABE系统追踪故意泄露私钥以获取利益的不诚实用户。本文提出了一个具有白盒可追溯性的大宇宙CP-ABE系统。该技术的属性域是指数级的,并且是多项式无界的。此外,该技术将跟踪参与恶意活动的用户的身份。此外,该方案可以将任意类型的单调树访问策略表示为线性秘密共享结构(LSSS)。与已有的实现相同性能的方案相比,该方案取得了更好的实验结果,可用于商业应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Data Access Control for Cloud Computing With Large Universe and Traceable Attribute-Based Encryption
Ciphertext-policy attribute-based encryption (CP-ABE) schemes provide fine-grained access control for the data stored in cloud computers. However, commercial CP-ABE applications need a new encryption scheme for providing two properties such as: supporting large universe attribute and traceability. First, a large universe attribute allows the attribute authority to use any number of attributes in the system. i.e., the attribute universe is dynamic, and it is not fixed at the setup phase. Second, traceable CP-ABE systems trace the dishonest users who intentionally leak the private key for their profit. In this article, a large universe CP-ABE system with white box traceability has been proposed. The attribute universe of the proposed technique is exponentially larger, and it is polynomially unbound. Further, this technique will trace the identity of users who involve in malicious activities. In addition, the proposed scheme can express any kind of monotonic tree access policies into linear secret sharing structure (LSSS). Compared with the existing schemes that are presented to achieve the same property, proposed scheme has achieved better experimental results and so it is applicable for commercial applications.
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