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System and method for classifying and identifying network digital virtual assets

A technology of virtual assets and categories, applied in character and pattern recognition, clustering/classification of other databases, retrieval of other databases, etc.

Active Publication Date: 2022-02-11
SOUTHWEST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research on the protection of digital virtual assets at home and abroad is still in the exploratory stage. With the popularity of online transactions, there are more and more types of virtual assets. It is more and more difficult to identify the types of network virtual assets and manage them accordingly. It is becoming more and more important and has become a trend and hotspot in the research on the protection of digital virtual assets in cyberspace

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  • System and method for classifying and identifying network digital virtual assets
  • System and method for classifying and identifying network digital virtual assets

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Embodiment Construction

[0018] The actual form of digital virtual assets in the network is a binary digital code, which can be legally obtained from an Internet server in a certain area using monitoring equipment. Monitoring should be continuous, such as continuous monitoring in the same area for n days (such as n=30), monitoring m hours per day (such as m=4), and numbering the monitored digital codes, etc. If what is obtained is not a direct digital code, such as English text and Chinese text, etc., the code conversion can be realized through a commonly used thesaurus model (such as Python3). Due to the large amount of data, for the convenience of data processing, all the data obtained by monitoring can be used to construct a structure database. Of course, an empty database can also be established with the help of SQL-Server software, and then the collected and processed data can be imported into the database and Name the table accordingly. In order to transfer the data in the database to Matlab, C...

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Abstract

The invention discloses a system and method for classifying and identifying network digital virtual assets, and relates to the technical field of data processing. The invention starts from the basic attributes of network virtual assets and is based on structural database, Ward's clustering method, probabilistic neural network, self-organization Feature mapping neural network and Hausdorff distance function, using the structure database to store data, using clustering methods such as Ward's and clustering effectiveness indicators to determine the optimal clustering range of network digital virtual assets, using probabilistic neural network and optimal The number of categories indicator determines its optimal number of categories, using a self-organizing feature map neural network and Hausdorff distance function to classify and identify data. It is operable to effectively classify and identify network digital virtual assets, and the identification results are highly credible.

Description

technical field [0001] The invention relates to digital information processing technology, in particular to a method for classifying and identifying virtual assets in a computer network. Background technique [0002] The rapid development of information technology and electronic technology makes network digital virtual assets ubiquitous and quickly integrated into our lives, such as: online banking, e-mail, network account, network domain name, network virtual currency, network virtual equipment, network ownership and more. These various and complex virtual assets bring great inconvenience to management, and also increase the risk of transactions. Using modern monitoring technology, it is possible to detect virtual asset data on a regional server, and it is operable to establish a model with the help of big data analysis methods to effectively classify and identify network digital virtual assets. [0003] In 2006, Lu Mingyong gave the concept of network virtual assets and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F16/906
CPCG06F18/23G06F18/24137
Inventor 李玻杨波廖晓峰
Owner SOUTHWEST UNIV