Sterility test data classification and encryption method based on conditional random field algorithm

Abstract

Disclosed in the invention is a sterility test data classification and encryption method based on a conditional random field algorithm. The method comprises: first, marking important result data generated in a sterility test process, training a conditional random field model and recognizing the important result data; second, performing classification and encryption on the important result data recognized by the conditional random field model, and transmitting encrypted data to a receiver; and finally, recovering the data without loss by the receiver by virtue of a reversible decryption process. According to the method, the important result data generated in the sterility test process is recognized by using the conditional random field method, and the important result data is separated from process data for classification and encryption. At the same time, a digital signature technology utilized in the method can effectively prevent messages from being tampered so that the data cannot be leaked out. The sterility test data classification and encryption method can greatly reduce encryption time and improve the system efficiency while ensuring the security of the important data information.

Description

technical field [0001] The invention belongs to the field of microbial sterility detection, and in particular relates to a method for hierarchical encryption of sterility detection data based on a conditional random field algorithm. Background technique [0002] In industrial production, microbial sterility testing is of great significance to ensure product safety. In recent years, with the development of informatization and automation industries, domestic research in the field of sterility testing has gradually tended to be automated. However, the level of intelligence in microbial sterility testing is low, the use of information technology is insufficient, and data integrity, security, and traceability are poor. In order to ensure the security of the data generated in the process of sterility testing, it is necessary to encrypt the important data in order to prevent the leakage or artificial tampering of data information. However, not all data is meaningful in the entire...

AI Technical Summary

Problems solved by technology

However, not all data is meaningful in the entire sterility testing system. If a large amount of process data is encrypted together with important result data, it will take a lot of time and reduce system efficiency

The existing data encryption method mixes all process data and result data together for unified encryption, but in practical applications, only the result data is often used

A large amount of process data will increase the time of encryption and decryption, which will affect the efficiency of the system. With the increase of the data volume of the aseptic testing platform, more and more time will be spent due to redundant encryption, and the efficiency of the system will be seriously affected.

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