OO-MA-KP-ABE-CRF: Online/Offline Multi-Authority Key-Policy Attribute-Based Encryption with Cryptographic Reverse Firewall for Physical Ability Data

You Zhao, Ye Fan () and Xuefen Bian ()
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You Zhao: College of Physical Education, Harbin University, Harbin 150090, China
Ye Fan: College of Data Science and Technology, Heilongjiang University, Harbin 150080, China
Xuefen Bian: College of Data Science and Technology, Heilongjiang University, Harbin 150080, China

Mathematics, 2023, vol. 11, issue 15, 1-19

Abstract: 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.

Keywords: MA-KP-ABE; physical ability data; online/offline; non-monotonic; cryptographic reverse firewall (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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