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基于多方授权属性基签密的雾计算中安全的数据访问控制,具有计算外包和属性撤销功能。

Secure Data Access Control for Fog Computing Based on Multi-Authority Attribute-Based Signcryption with Computation Outsourcing and Attribute Revocation.

机构信息

Department of Computer Science and Technology, Tongji University, Cao An Highway, Shanghai 201804, China.

出版信息

Sensors (Basel). 2018 May 17;18(5):1609. doi: 10.3390/s18051609.

Abstract

Nowadays, fog computing provides computation, storage, and application services to end users in the Internet of Things. One of the major concerns in fog computing systems is how fine-grained access control can be imposed. As a logical combination of attribute-based encryption and attribute-based signature, Attribute-based Signcryption (ABSC) can provide confidentiality and anonymous authentication for sensitive data and is more efficient than traditional "encrypt-then-sign" or "sign-then-encrypt" strategy. Thus, ABSC is suitable for fine-grained access control in a semi-trusted cloud environment and is gaining more and more attention recently. However, in many existing ABSC systems, the computation cost required for the end users in signcryption and designcryption is linear with the complexity of signing and encryption access policy. Moreover, only a single authority that is responsible for attribute management and key generation exists in the previous proposed ABSC schemes, whereas in reality, mostly, different authorities monitor different attributes of the user. In this paper, we propose OMDAC-ABSC, a novel data access control scheme based on Ciphertext-Policy ABSC, to provide data confidentiality, fine-grained control, and anonymous authentication in a multi-authority fog computing system. The signcryption and designcryption overhead for the user is significantly reduced by outsourcing the undesirable computation operations to fog nodes. The proposed scheme is proven to be secure in the standard model and can provide attribute revocation and public verifiability. The security analysis, asymptotic complexity comparison, and implementation results indicate that our construction can balance the security goals with practical efficiency in computation.

摘要

如今,雾计算为物联网中的终端用户提供计算、存储和应用服务。雾计算系统中的主要关注点之一是如何实施细粒度的访问控制。作为属性基加密和属性基签名的逻辑组合,基于属性的签密(ABSC)可以为敏感数据提供机密性和匿名身份验证,并且比传统的“加密后签名”或“签名后加密”策略更有效。因此,ABSC 适用于半可信云环境中的细粒度访问控制,最近越来越受到关注。然而,在许多现有的 ABSC 系统中,签密和设计解密所需的计算成本与签名和加密访问策略的复杂度呈线性关系。此外,在前述提出的 ABSC 方案中,只有一个负责属性管理和密钥生成的单一权威机构,而在现实中,通常不同的权威机构监控用户的不同属性。在本文中,我们提出了基于密文策略的 ABSC 的 OMDAC-ABSC,这是一种新的数据访问控制方案,用于在多权威雾计算系统中提供数据机密性、细粒度控制和匿名身份验证。通过将不希望的计算操作外包给雾节点,显著降低了用户的签密和设计解密开销。所提出的方案在标准模型中被证明是安全的,并可以提供属性撤销和公共可验证性。安全性分析、渐近复杂度比较和实现结果表明,我们的构造可以在计算效率方面平衡安全目标和实际效率。

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