Asset identification and information classification method based on artificial intelligence technology

Abstract

The invention provides an asset identification and information classification method based on an artificial intelligence technology. The asset identification and information classification method comprises the following steps: collecting asset information data; judging whether assets belong to or types of the assets can be known or not according to the asset information data; performing tagging and unification processing on the asset information data so as to obtain tagged information; classifying website types by adopting an image recognition algorithm; if classification succeeds, acquiring classification information, and executing the fifth step; performing similarity and affiliation analysis on the asset information data so as to obtain asset association positioning information; takingthe asset information data, the tagging information, the classification information and the association positioning information as information reports; and performing tagging processing and classifiedstorage on the information reports obtained in the fifth step, and carrying out storage in a corresponding asset database. According to the invention, the asset identification and classification system constructed by integrating an artificial intelligence technology can achieve the effects of accuracy, high efficiency and automation in information classification.

Description

technical field [0001] The invention relates to an asset identification and information classification method, in particular to an asset identification and information classification method based on artificial intelligence technology. Background technique [0002] With the advent of the 5G era and the rise of the concept of Internet of Everything, the number and types of network assets exposed on the Internet have increased sharply, and the difficulty of asset identification and information classification has also risen sharply. Therefore, it is necessary to build an efficient and automated asset identification system. and classification systems are urgently needed. [0003] Artificial intelligence technology is an intelligent machine that can respond in a similar way to human intelligence, including robots, language recognition, image recognition, natural language processing and expert systems, etc. The use of artificial intelligence technology to deal with problems has bec...

AI Technical Summary

Problems solved by technology

[0005] At present, most network asset detection and information collection systems adopt the method of active scanning and collection and classification. In the face of the rapid increase in the number and types of assets, there are defects in the efficiency and accuracy of asset identification and classification.

[0006] However, the current existing systems that simply combine machine learning for asset identification and classification all simply classify asset information without in-depth processing and analysis, and cannot efficiently and accurately locate asset information. It still requires a lot of human-assisted operations in terms of classification

At the same time, in terms of data dimension, there is currently no asset detection system that combines artificial intelligence image audio recognition and natural language processing technology to classify assets

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