CN112487270A - Method and device for asset classification and accuracy verification based on picture identification - Google Patents
Method and device for asset classification and accuracy verification based on picture identification Download PDFInfo
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- CN112487270A CN112487270A CN201910870233.XA CN201910870233A CN112487270A CN 112487270 A CN112487270 A CN 112487270A CN 201910870233 A CN201910870233 A CN 201910870233A CN 112487270 A CN112487270 A CN 112487270A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a method and a device for asset classification and accuracy verification based on picture identification, wherein the method comprises the following steps: scanning the data assets based on the asset characteristics to obtain a scanning result set; analyzing part of the scanning results in the scanning result set, acquiring the body part of each scanning result, and generating a first picture containing the body part and an asset access page screenshot; identifying the first picture and the screenshot of the asset access page through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and constructing a web search to locate a product type corresponding to the product name; the accuracy of the asset feature is determined by comparing the resulting similarity of the first picture and the asset access page screenshot. The device comprises: the device comprises a scanning module, an analysis and picture generation module, a type determination module and a verification module. The invention can save time and liberate manpower by the scheme.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a method and a device for asset classification and accuracy verification based on picture identification.
Background
There are thousands of internet of things devices on the internet, each device has its own characteristics and attribution type, some devices have types, and some devices need to be located for types only with product names for convenience of management. The asset data is acquired by a rule feature, so it is also necessary to determine whether the acquired assets are consistent.
In the prior art, asset classification is performed by manually classifying and checking the accuracy of rule features, which is time-consuming and labor-consuming.
Disclosure of Invention
In order to solve the above problems, an aspect of the present invention provides a method for asset classification and accuracy verification based on picture recognition, which includes: scanning the data assets based on the asset characteristics to obtain a scanning result set; analyzing part of the scanning results in the scanning result set, acquiring a body part of each scanning result, and generating a first picture containing the body part and an asset access page screenshot; identifying the first picture and the screenshot of the asset access page through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and constructing a web search to locate a product type corresponding to the product name; determining an accuracy of the asset feature by comparing the obtained similarity of the first picture and the asset access page screenshot.
In the method as described above, preferably, the asset product information further includes: a product manufacturer; correspondingly, the constructing a web search to locate the product type corresponding to the asset product name specifically includes: and classifying the product types through the associated algorithm triples based on the product manufacturers, the product names and the categories.
In the method as described above, the partial scan results are preferably acquired from the set of scan results by a random method.
Another aspect provides an apparatus for asset classification and accuracy verification based on picture recognition, comprising: the scanning module is used for scanning the data assets based on the asset characteristics to obtain a scanning result set; the analysis and picture generation module is used for analyzing part of the scanning results in the scanning result set, acquiring the body part of each scanning result and generating a first picture containing the body part and an asset access page screenshot; the type determining module is used for identifying the first picture and the asset access page screenshot through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and web search is constructed to locate a product type corresponding to the product name; a verification module to determine an accuracy of the asset feature by comparing the obtained similarity of the first picture and the asset access page screenshot.
In the apparatus as described above, preferably, the asset product information further includes: a product manufacturer; correspondingly, the constructing a web search to locate the product type corresponding to the asset product name specifically includes: the type determining module is used for realizing classification of product types through the associated algorithm triples based on the product manufacturers, the product names and the categories.
In the apparatus as described above, the partial scan results are preferably acquired from the set of scan results by a random method.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
compared with the manual mode of classifying and checking the accuracy of rule features, the automatic classification and the accuracy check are carried out in the picture recognition mode, so that the time can be saved, the manpower can be saved, and the satisfaction degree of a user can be improved.
Drawings
Fig. 1 is a schematic flowchart of a method for asset classification and accuracy verification based on picture recognition according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention provides a method for asset classification and accuracy verification based on picture recognition, which includes the following steps:
The data assets comprise asset data originating from a cyberspace mapping platform, and the data types comprise body and ip.
And 102, analyzing partial scanning results in the scanning result set, acquiring the body part of each scanning result, and generating a first picture containing the body part and an asset access page screenshot.
In practical application, the pictures and the screenshots of the asset access pages, which are obtained and saved by the body of the corresponding result of the asset, can be respectively placed in different folders.
103, identifying the first picture and the screenshot of the asset access page through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and constructing a web search to locate a product type corresponding to the product name;
preferably, the asset product information further comprises: a product manufacturer; correspondingly, constructing a web search to locate a product type corresponding to the asset product name specifically includes: the classification of product types is achieved by an associated algorithm triplet based on product manufacturer, product name and category.
That is to say: the manufacturer and the model are identified through image identification, a new web search is constructed, and type classification is realized through an associated algorithm triple based on the manufacturer, the product name and the category of the product. In practical applications, the product name may be replaced by the product model.
And 104, determining the accuracy of the asset characteristics by comparing the obtained similarity of the first picture and the screenshot of the asset access page.
This step is used to verify whether the product extracted by the features is accurate, i.e. the similarity between result sets is obtained by the picture recognition technique to determine the accuracy of the rule features. .
Preferably, the partial scan results are acquired from the set of scan results by a stochastic method. The number of partial scan results may be 50.
Another embodiment of the present invention provides an apparatus for asset classification and accuracy verification based on picture recognition, including: the device comprises a scanning module, an analysis and picture generation module, a type determination module and a verification module.
The scanning module is used for scanning the data assets based on the asset characteristics to obtain a scanning result set. The analysis and picture generation module is used for analyzing part of the scanning results in the scanning result set, acquiring body parts of all the scanning results and generating a first picture containing the body parts and an asset access page screenshot. The type determining module is used for identifying the first picture and the asset access page screenshot through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and web search is constructed to locate the product type corresponding to the product name. The verification module is used for determining the accuracy of the asset features by comparing the obtained similarity of the first picture and the screenshot of the asset access page.
Preferably, the asset product information further comprises: a product manufacturer; correspondingly, constructing a web search to locate a product type corresponding to the asset product name specifically includes: and the type determining module is used for realizing the classification of the product types through the associated algorithm triples based on the product manufacturers, the product names and the categories.
Preferably, the partial scan results are acquired from the set of scan results by a stochastic method.
Regarding the implementation manners of the scanning module, the parsing and picture generating module, the type determining module, and the checking module, reference may be made to the related descriptions of steps 101 to 104 in the foregoing embodiments, and details are not repeated here.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (6)
1. A method for asset classification and accuracy verification based on picture identification is characterized by comprising the following steps:
scanning the data assets based on the asset characteristics to obtain a scanning result set;
analyzing part of the scanning results in the scanning result set, acquiring a body part of each scanning result, and generating a first picture containing the body part and an asset access page screenshot;
identifying the first picture and the screenshot of the asset access page through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and constructing a web search to locate a product type corresponding to the product name;
determining an accuracy of the asset feature by comparing the obtained similarity of the first picture and the asset access page screenshot.
2. The method of claim 1, wherein the asset product information further comprises: a product manufacturer;
correspondingly, the constructing a web search to locate the product type corresponding to the asset product name specifically includes:
and classifying the product types through the associated algorithm triples based on the product manufacturers, the product names and the categories.
3. The method of claim 1, wherein the partial scan is acquired from the set of scan results by a stochastic method.
4. An apparatus for asset classification and accuracy verification based on picture recognition, the apparatus comprising:
the scanning module is used for scanning the data assets based on the asset characteristics to obtain a scanning result set;
the analysis and picture generation module is used for analyzing part of the scanning results in the scanning result set, acquiring the body part of each scanning result and generating a first picture containing the body part and an asset access page screenshot;
the type determining module is used for identifying the first picture and the asset access page screenshot through an image identification technology to obtain asset product information, wherein the asset product information comprises a product name, and web search is constructed to locate a product type corresponding to the product name;
a verification module to determine an accuracy of the asset feature by comparing the obtained similarity of the first picture and the asset access page screenshot.
5. The apparatus of claim 4, wherein the asset product information further comprises: a product manufacturer;
correspondingly, the constructing a web search to locate the product type corresponding to the asset product name specifically includes:
the type determining module is used for realizing classification of product types through the associated algorithm triples based on the product manufacturers, the product names and the categories.
6. The apparatus of claim 4, wherein the partial scan is acquired from the set of scan results by a stochastic method.
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| CN201910870233.XA CN112487270A (en) | 2019-09-12 | 2019-09-12 | Method and device for asset classification and accuracy verification based on picture identification |
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| CN201910870233.XA CN112487270A (en) | 2019-09-12 | 2019-09-12 | Method and device for asset classification and accuracy verification based on picture identification |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113472813A (en) * | 2021-09-02 | 2021-10-01 | 浙江齐安信息科技有限公司 | Security asset identification method and system |
| CN115171048A (en) * | 2022-07-21 | 2022-10-11 | 北京天防安全科技有限公司 | Asset classification method, system, terminal and storage medium based on image recognition |
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| CN113472813A (en) * | 2021-09-02 | 2021-10-01 | 浙江齐安信息科技有限公司 | Security asset identification method and system |
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| CN115171048A (en) * | 2022-07-21 | 2022-10-11 | 北京天防安全科技有限公司 | Asset classification method, system, terminal and storage medium based on image recognition |
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