Electronic credential security event fusion analysis method

Abstract

The invention relates to the field of data analysis, discloses an electronic credential security event fusion analysis method, and solves the technical problem of better completing a fusion analysis system task in an electronic credential third-party supervision system. The method comprises the following steps: s101: data acquisition, s102: data preprocessing, s103, feature extraction, S104, fusion calculation and S105, result output; S104 inclues safety event study and judgment and association relationship learning; the safety event study and judgment uses a Kmeans clustering algorithm to obtain a warning threshold value of a safety event of an enterprise or a use; the association relationship learning adopts a Skip-gram model to train a word vector after coding corresponding to an abnormal behavior; after the word vectors of the abnormal behaviors are obtained, the cosine similarity is used for calculating the similarity between the word vectors, and then the association similarity between enterprises and the association similarity between users are obtained. When an enterprise has a relatively concentrated safety event time or a relatively small number of abnormal behaviors, the safety event early warning threshold value algorithm can dynamically study and judge the early warning threshold value and the result is relatively accurate.

Description

technical field [0001] The invention relates to the field of data analysis, more specifically, it relates to a fusion analysis method for electronic credential security events. Background technique [0002] Under the background of the current "Internet +" era, it emphasizes the implementation of the development concept of innovation, coordination, green, openness and sharing. In terms of tax collection and management, the implementation of paperless evidence is the key to improving the tax collection and management methods and improving the work efficiency of functional departments. The inevitable result of modernization and intelligence. [0003] However, the electronic credential service system running in an open environment has the characteristics of business system differentiation and abnormal behavior information multi-source heterogeneity. The abnormal behavior of electronic credential applications is diverse and changeable. In order to ensure the normal operation and ...

AI Technical Summary

Problems solved by technology

Most of the existing research focuses on the research on text and semantic similarity in natural language. The application of text semantic similarity to entity data in a specific environment needs to consider the production environment for data cleaning, integration and screening, and the electronic credentials of electronic invoices The application of abnormal behaviors is diverse and changeable, and the analysis of massive abnormal data using traditional statistical methods seems to be stretched. In addition, industry and production life involve the use of deep learning methods for similarity analysis of multiple entities with intricate relationships. relatively rare

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