期刊
MATHEMATICS
卷 11, 期 15, 页码 -出版社
MDPI
DOI: 10.3390/math11153333
关键词
MA-KP-ABE; physical ability data; online; offline; non-monotonic; cryptographic reverse firewall
类别
In many universities, students' physical ability data are collected and stored in the cloud using various sensing devices to save computational and storage costs. This paper proposes an online/offline multi-authority key-policy attribute-based encryption scheme for physical ability data. The scheme uses multi-authority to avoid the crisis of a single authority and combines with a cryptographic reverse firewall to resist backdoor attacks.
In many universities, students' physical ability data are collected and stored in the cloud through various sensing devices to save computational and storage costs. Therefore, how to effectively access data while ensuring data security has become an urgent issue. Key-policy attribute-based encryption (KP-ABE) not only enables secure one-to-many communication and fine-grained access control but also adapts to data sharing in static scenarios, making it more suitable for the cloud sharing of physical ability data. In this paper, we construct an online/offline multi-authority key-policy attribute-based encryption with a cryptographic reverse firewall for physical ability data. This scheme uses multi-authority to avoid the single point of failure crisis of a single authority, and is combined with a cryptographic reverse firewall to resist backdoor attacks. In addition, the scheme uses outsourcing decryption to save users' computing costs, and utilizes offline/online technology to move a large amount of computing offline, reducing the online burden. Finally, the experiment shows the feasibility of the scheme.
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