IP (Internet Protocol) region category feature extraction method based on fusion of multiple data sources

A multi-data source, feature extraction technology, applied in the field of data analysis, can solve problems such as inability to integrate data

Active Publication Date: 2017-09-05
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT +1
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the IP address database in the prior art adopts various formats and cannot perform data fusion, the technical problem to be solved in the present invention is to propose a method for extracting IP region features based on the fusion of multiple data sources

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  • IP (Internet Protocol) region category feature extraction method based on fusion of multiple data sources
  • IP (Internet Protocol) region category feature extraction method based on fusion of multiple data sources
  • IP (Internet Protocol) region category feature extraction method based on fusion of multiple data sources

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Embodiment Construction

[0045] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0046]The present invention is based on the composition structure of the IP regional class feature, by existing multiple positioning databases in the Internet (in the embodiment of the present invention, five most common Taobao IP address databases, innocent IP address databases, Sina IP address databases, Baidu The address database, the global IPv4 address attribution database (ipip.net) and the longitude and latitude information table of China's administrative regions are analyzed to realize the extraction of IP geographical features at home and abroad, and a method for extracting IP geographical features based on multiple data sources is proposed. Finally, a set of regional feature knowledge base for global IP is constructed. The present invention cal...

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Abstract

The embodiment of the invention provides an IP (Internet Protocol) region category feature extraction method based on fusion of multiple data sources. The IP region category feature extraction method comprises the steps of: S1, based on existing IP address positioning databases, calculating an authority score of each positioning database; S2, based on the existing IP address positioning databases, calculating integrity of positioning data in each positioning database; S3, according to the authority score of each positioning database in the step S1 and the integrity of the positioning data in each positioning database in the step S2, determining credibility of the positioning data; and S4, according to the credibility of the positioning data, selecting the positioning data to construct an IP region category feature knowledge base.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to an IP region feature extraction method based on the fusion of multiple data sources. Background technique [0002] An IP address (Internet Protocol Address, Internet Protocol address) is a unique identifier of a node in a network. Since the IP address is unique and is an address format that conforms to the protocol, it is more like an "ID card" for people in the "society" of the Internet. With the development of society and network technology, most core businesses of the Internet require precise positioning of IP addresses. However, there are hundreds of millions of IP addresses in the world, all over the world. Different IP addresses may contain different geographical attributes, such as continents, countries, regions, operators, time zones, latitude and longitude, etc. How to obtain the precise geographical attributes of IP addresses from this vast network is a very challenging t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/12G06F17/30
CPCG06F16/29H04L2101/69
Inventor 佟玲玲杜翠兰翟羽佳张琳孙旷怡张仰森张艳华郑佳王建
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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