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A Temporal and Spatial Constrained Attribute-Based Access Control Scheme for Cloud Storage

机译:基于时间和空间约束的基于属性的云存储访问控制方案

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摘要

Cloud storage service allows data owners to store their (encrypted) data in a remote and may be untrusted cloud server. Attribute-Based Encryption (ABE) provides an excellent and flexible solution for data access control. As more and more applications evolved, ABE schemes may not handle all scenarios, in particular, if the access control has a time and location constraint. Time and location attributes are not as static as other general attributes. Existing ABE schemes cannot efficiently handle the continuous range of an attribute making it impractical for temporal and spatial constraints that are changing dynamically. In this paper, we propose a novel temporal and spatial constrained attribute-based access control (TSC-ABAC) scheme to solve this problem. Our system adopts a redesigned access structure and makes use of multi-dimensional range derivation function to match the time domain. This is the first ABE scheme that can efficiently handle time and location elements simultaneously. We further propose an extended TSC-ABAC scheme, which aims at reducing the decryption cost imposed on user. A thorough security and performance analysis shows that our design is secure and efficient. The result of our work could provide a feasible and practical data access control scheme for cloud storage services.
机译:云存储服务允许数据所有者将其(加密的)数据存储在远程服务器中,并且可能是不受信任的云服务器。基于属性的加密(ABE)为数据访问控制提供了一种出色而灵活的解决方案。随着越来越多的应用程序发展,尤其是在访问控制具有时间和位置约束的情况下,ABE方案可能无法处理所有情况。时间和位置属性不像其他常规属性那样静态。现有的ABE方案无法有效处理属性的连续范围,从而使其对于动态变化的时间和空间约束不切实际。在本文中,我们提出了一种新颖的时空受限基于属性的访问控制(TSC-ABAC)方案来解决此问题。我们的系统采用重新设计的访问结构,并利用多维范围推导功能来匹配时域。这是第一个可以同时有效处理时间和位置元素的ABE方案。我们进一步提出了扩展的TSC-ABAC方案,其目的是减少施加给用户的解密成本。全面的安全性和性能分析表明,我们的设计是安全高效的。我们的工作结果可以为云存储服务提供一种可行且实用的数据访问控制方案。

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