Method for processing data of domain system

Abstract

The invention relates to a method for processing the data of a domain system. The method comprises the steps of receiving an access log; partitioning the access log into a file; processing the file into the processed file; extracting and filtering the access log in the processed file to obtain effective data; extracting analysis targets from the effective data; by taking a first quantity of analysis targets as a first analysis target group, counting the page view of the processed files corresponding to the analysis targets in the first analysis target group, and accumulating the counting results so as to generate a first visualized analysis parameter; by taking a second quantity of analysis targets as a second analysis target group, counting the page view of the processed files corresponding to the analysis targets in the second analysis target group to obtain the counting result of each processed file, wherein the counting results generate a first sequence; classifying and extracting the first sequence so as to generate a second visualized analysis parameter. The method is fast and efficient in data processing, and can render various kinds of information, thus being convenient to interact.

Description

technical field [0001] The invention relates to data processing, in particular to a domain name system data processing method. Background technique [0002] With the rapid development of network technology, network log data has become an important source of big data. Network log data contains a wealth of information, such as network anomalies and faults, humanistic and social hotspots, group surfing habits, etc. However, due to the lack of effective analysis and processing, many network data can only be used as auxiliary means for fault analysis, and it is difficult to reflect its richer connotation and value. [0003] Currently, the analysis and visualization of Domain Name System (DNS) log data plays an important role in the security of the entire network. Through the visual analysis of DNS data, the current network health status information can be obtained in real time, which can effectively assist in the analysis of the spread of network viruses and trace the source of...

AI Technical Summary

Problems solved by technology

Current DNS log data visualization technologies, such as tree diagrams, river diagrams, and flow diagrams, can only display one or two types of information, but cannot display multiple information at the same time. Analysts frequently go back and forth between different diagrams Switching is not conducive to data analysis and rule mining

[0006] (3) The current multi-dimensional information visualization technology has to display objects with a huge number of records and complicated analysis targets such as DNS logs in a limited screen space, and the layout is prone to problems, resulting in information congestion and serious occlusion

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