Plaintext shared data auditing method and system supporting privacy information hiding

Abstract

The invention discloses a plaintext shared data auditing method and system supporting privacy information hiding. The method comprises the steps that (1) a private key generation center initializes the system; (2) the user side extracts a private key from a private key generation center; (3) the user side generates a blind file, a file label and a corresponding signature of the file, and submits the blind file, the file label and the corresponding signature to the management side; (4) the management end examines the file according to the received blind file, the file label and the corresponding signature, and uploads the blind file, the file label and the corresponding signature to the cloud when the examination is passed; and (5) integrity auditing is carried out on the file by the third-party auditing end according to the blind file, the file label and the corresponding signature on the cloud. The privacy information hiding mechanism provided by the invention can prevent a maliciousmanager from illegally operating the file, and any illegal operation can be detected when the file is checked by the cloud.

Description

technical field [0001] The invention relates to the technical field of cloud computing security, in particular to a plaintext shared data audit method and system supporting privacy information hiding. Background technique [0002] With the explosive growth of data volume this year, more and more individuals, commercial companies, and organizations do not store data in their own servers, but choose to store data on cloud platforms with powerful computing and storage capabilities. The cloud platform provides a more flexible and scalable storage service through which users can share data with others. For example, commercial companies such as Ali and Didi share some business data sets for data analysis by the academic community, so that the data can generate greater derivative value. [0003] However, cloud storage services are not completely reliable, and some unpredictable hardware or software errors and manual misoperations will still cause data damage. Moreover, cloud serv...

AI Technical Summary

Problems solved by technology

In the existing solutions, these managers are given too much power. Even if they modify the data, they will not be discovered during the data checking and auditing process, which makes the reliability and integrity of the shared data cannot be fully trusted

[0006] 2. The managers in the existing scheme bear excessive calculation and transmission pressure

This makes the manager node a bottleneck in the entire solution. In the face of massive data and high concurrency environments, the entire data release audit process will be blocked.

[0007] 3. The hidden privacy data mechanism of the existing scheme needs to generate a random number for each file, and the data generation needs to save these random numbers locally so that the processed private data can be recovered

This will bring a lot of storage overhead to the user, and once the random number is lost, the private data will no longer be recovered

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