A method for encrypting and securely transmitting data

Abstract

A predictive processing method for engineering data based on data mining, including initialization settings, establishment of sub-target data clusters, preprocessing to form effective target data clusters, clustering processing and analysis, associative processing of similar data and establishment of priority data sets in the data, setting with The associated class encryption ID and priority number set encryption ID, category data transmission, data verification and mining processing steps can improve the processing efficiency and speed of data prediction, and the targeted data encryption method makes data security high.

Description

technical field [0001] The invention relates to the field of data analysis, processing and transmission, in particular to an encrypted and secure transmission method of engineering data. Background technique [0002] Big data (big data), a term in the IT industry, refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making, insight, and Massive, high growth rate and diverse information assets of process optimization capabilities. [0003] Data mining is an emerging discipline, which was born in the 1980s and is mainly oriented to the field of artificial intelligence research for commercial applications. From a technical point of view, data mining is the process of obtaining implicit, potentially valuable information and knowledge that people have not noticed in advance from a large number of complex, irregular, random, and fuz...

AI Technical Summary

Problems solved by technology

[0006] A large amount of engineering data can no longer be processed according to conventional processing and storage methods. Using big data and data mining to process data can effectively solve the problem of large data volume and low processing efficiency. However, engineering data The requirements for transmission security will also become higher

Most of the existing data mining uses data clustering and other operations on the server side of big data. The data is poorly targeted and the amount of calculation is large. At the same time, the interaction of the client requires two-way big data transmission, which is inefficient and slow.

For the data encryption method, the existing technology basically only aims at the confidentiality of customer information, and does not encrypt and protect the data from the whole data processing process, especially in the process of data transmission, no targeted encryption measures are taken, resulting in Data security is low

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