Network security data processing method and system based on serial-parallel structure, social network

Abstract

The invention belongs to the technical field of network security, big data processing, and machine learning, and discloses a network security data processing method and system based on a serial-parallel structure, and a social network. a filter is deployed to filter normal data and filter out normal network data, and achieves the effect of reducing the amount of data to be processed; the network security data is acquired, and the suspected data related to the network security is obtained and saved; the acquired network security data is input, and whether there is unmarked data is judged, for the unmarked network security data, the classification of the remaining network security data is determined by a data fuzzy clustering method, and is marked; the training data set is updated and trained, and the classifier sequence is ordered again, the dimension of the data to be processed is reduced, the security classification of the data to be processed is determined, and the measurement of the network security level can be conveniently, rapidly, and accurately completed. The method can efficiently and accurately obtain the standardized data closely related to network security measurement in any complex network environment.

Description

technical field [0001] The invention belongs to the technical fields of network security, big data processing and machine learning, and in particular relates to a network security data processing method and system based on a serial-parallel structure, and a social network. Background technique [0002] With the emergence and development of network technologies, such as IoTs, D2D and SDN / NFV, etc., it has entered the era of networking, especially mobile communication networks and social networks have become an inseparable part of life. In addition, the normal development and operation of many fields, such as biology, medicine, education, agriculture, traffic management, and government agencies, cannot be separated from the network. In this case, there are two issues that need to be paid close attention to: (1) With the increase of the number of network users, the security attacks on the network will also increase accordingly. These network attacks are very likely to cause se...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current network data processing methods have inaccurate classification and feature redundancy, and the big data classification speed is slow and the accuracy is low in a complex network environment; there is a lack of comprehensive and stable Adaptive collection and combination methods yield standardized data that can be directly used for network security metrics

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