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基于区块链的物联网环境中的安全代理数据共享模块。

A Secured Proxy-Based Data Sharing Module in IoT Environments Using Blockchain.

机构信息

Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu 611731, China.

CETC Big Data Research Institute Co., Ltd., Guiyang 550008, China.

出版信息

Sensors (Basel). 2019 Mar 11;19(5):1235. doi: 10.3390/s19051235.

Abstract

Access and utilization of data are central to the cloud computing paradigm. With the advent of the Internet of Things (IoT), the tendency of data sharing on the cloud has seen enormous growth. With data sharing comes numerous security and privacy issues. In the process of ensuring data confidentiality and fine-grained access control to data in the cloud, several studies have proposed Attribute-Based Encryption (ABE) schemes, with Key Policy-ABE (KP-ABE) being the prominent one. Recent works have however suggested that the confidentiality of data is violated through collusion attacks between a revoked user and the cloud server. We present a secured and efficient Proxy Re-Encryption (PRE) scheme that incorporates an Inner-Product Encryption (IPE) scheme in which decryption of data is possible if the inner product of the private key, associated with a set of attributes specified by the data owner, and the associated ciphertext is equal to zero 0 . We utilize a blockchain network whose processing node acts as the proxy server and performs re-encryption on the data. In ensuring data confidentiality and preventing collusion attacks, the data are divided into two, with one part stored on the blockchain network and the other part stored on the cloud. Our approach also achieves fine-grained access control.

摘要

访问和利用数据是云计算范式的核心。随着物联网(IoT)的出现,云端数据共享的趋势呈现出巨大的增长。随着数据共享而来的是众多的安全和隐私问题。在确保云中数据机密性和细粒度数据访问控制的过程中,已经有几项研究提出了基于属性的加密(ABE)方案,其中密钥策略 ABE(KP-ABE)是突出的一个。然而,最近的研究表明,通过被撤销的用户与云服务器之间的合谋攻击,数据的机密性受到侵犯。我们提出了一种安全高效的代理重加密(PRE)方案,该方案结合了内积加密(IPE)方案,只有当与数据所有者指定的属性集相关联的私钥的内积与相关联的密文相同时,才能对数据进行解密。我们利用区块链网络,其处理节点充当代理服务器,并对数据进行重新加密。在确保数据机密性和防止合谋攻击方面,数据被分为两部分,一部分存储在区块链网络上,另一部分存储在云上。我们的方法还实现了细粒度的访问控制。

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