Cloud storage medical data batch self-auditing method based on wireless body area network

Abstract

The invention belongs to the technical field of information security, and particularly relates to a cloud storage medical data batch self-auditing method based on a wireless body area network. The security of a cryptographic algorithm designed by the method is based on discrete logarithm problems, and thus it is guaranteed that a malicious cloud server cannot produce a piece of forged auditing proof response information which cheats a cloud user and makes the user pass an auditing verification process. In the cloud storage medical data batch self-auditing method based on the wireless body area network, the cloud user makes use of a linear homomorphic aggregation signature algorithm to construct a homomorphic linear identifier, and can conduct batch auditing on the completeness of multiple medical data files simultaneously, and in the auditing process, the bilinear pairing operation with large expenses does not need to be conducted, and the cloud storage medical data batch self-auditing method is particularly applicable to an application scenario in which the lightweight class calculated amount is needed, the memory space is limited and the wireless body area network needs to be efficiently achieved.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a batch self-audit method for cloud storage medical data based on a wireless body area network. Background technique [0002] With the rapid development of wireless communication, low-power integration, and sensor technology, wireless sensor networks have been widely used in various fields such as smart grid, medical health, and industrial control. As an important application of wireless sensor network, wireless body area network has been paid more and more attention by academic and medical circles. Wireless body area network uses sensor nodes to collect medical information such as heart rate, pulse, and body temperature of patients. These medical data need to be processed in a timely manner and also need to obtain timely feedback from doctors. Due to limited resources such as storage, processing, and energy supply, it is quite difficult to achieve thes...

AI Technical Summary

Problems solved by technology

The current typical cloud storage data integrity audit scheme is not suitable for cloud-assisted wireless body area network application scenarios due to the need for bilinear pairing operations with a large computational cost.

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