Big data security privacy computing control method in super computing and cloud computing environment

Abstract

The invention relates to a big data security privacy computing control method in a super computing and cloud computing environment, which comprises the following steps of: performing data protection level judgment on original data through a sample data rule, performing desensitization acquisition on the judged original data by a generation system, and generating sample data; meanwhile, encrypting and transmitting to a secure storage system; if the data application side needs to use the data, a request needs to be made to a data administrator, and the data administrator needs to approve the request; debugging the approved sample data of the data application party in an algorithm debugging system, and generating an algorithm model; finally, the algorithm model is input into a cloud computing environment of a computing task execution system, trusted computing is carried out, and a data application party obtains computing result data. According to the method, the collected data can be ensured not to be tampered; and through comparison with the data fingerprint information on the block chain, it is ensured that data participating in calculation every time is real data which is not tampered.

Description

technical field [0001] The invention belongs to the field of supercomputer privacy and security control, in particular to a large data security and privacy calculation control method under supercomputing and cloud computing environments. Background technique [0002] With the vigorous development of the information age, informatization has produced more and more various types of data, such as health data collected for patients, browsing data using smart devices, and unknown images of personnel collected by electronic monitoring equipment; At present, these data are stored in the environment of each data collector. Since the data contains a large amount of user privacy information, it cannot be shared or used as a whole, so that the value of the data can be maximized. [0003] One of the expected data usage methods is to provide a data trading platform. After different data providers encrypt and store the data in a centralized system, the system can provide a certain method t...

AI Technical Summary

Problems solved by technology

[0003] One of the expected data usage methods is to provide a data trading platform. After different data providers encrypt and store the data in a centralized system, the system can provide a certain method to ensure the security and integrity of the data. Ensure that the data is invisible to other participants. Participants can only use the data to perform calculations based on an algorithm under authorized conditions and cannot obtain any original data

[0004] From the perspective of data security and integrity: In the existing technology, the transmission of data is usually encrypted, but the data stored centrally after transmission lacks the integrity verification during use, and the user who uses the data cannot know the data being used whether it is authentic or has been falsified;

[0005] From the perspective of algorithm debugging: the existing technology is usually based on a common platform for algorithm debugging. During the algorithm debugging process, the participants can get the original data through debugging, such as directly outputting the original data in the algorithm. To the command line window or write to a file, etc.; this method cannot guarantee the safety of the original data

[0006] From the perspective of the entire calculation process: the existing technology usually executes the algorithm in a shared environment. If the original data is directly output in the algorithm code, the original data will be leaked; Growth, ordinary computing power is difficult to meet computing needs

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