IP positioning method based on Bayes and deep neural network

A technology of deep neural network and positioning method, applied in the field of IP positioning based on Bayesian and deep neural network, can solve the problems of large delay, deviation of use position, slow data update and so on

A technology of deep neural network and positioning method, applied in the field of IP positioning based on Bayesian and deep neural network, can solve the problems of large delay, deviation of use position, slow data update and so on

CN109858508APending Publication Date: 2019-06-07CHONGQING UNIV OF POSTS & TELECOMM
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  • IP positioning method based on Bayes and deep neural network
  • IP positioning method based on Bayes and deep neural network
  • IP positioning method based on Bayes and deep neural network

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Experimental program
Comparison scheme
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Embodiment Construction

[0048] The present invention will be further described below in conjunction with accompanying drawing:

[0049] (1) Comprehensive positioning of IP devices based on social information

[0050] 1.1 Image matching and positioning: by collecting IP devices or corresponding pictures or videos published by users recently, extracting features such as text, road signs, colors, textures, outlines, shapes, special buildings, and spatial relationships in the pictures or videos, and then image in the background After feature matching, similarity calculation, comparison and calculation in the database system, the geographical location with the highest similarity is calculated, so as to locate the unknown IP device to a specific location;

[0051] 1.2 Positioning of location information on social platforms: through social platforms such as Facebook, Renren, Weibo, etc., which can publish location information, collect information such as IP devices or corresponding user’s check-in data in t...

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Abstract

The invention discloses an IP positioning method based on Bayes and a deep neural network. The IP positioning method based on the Bayes and the deep neural network comprises an IP equipment comprehensive positioning method based on social information, an IP positioning method based on weighted naive Bayes and an IP positioning method based on a BP neural network. Compared with the prior art, the unknown IP is comprehensively positioned by fusing three methods, and corresponding methods can be adaptively selected for positioning according to different collected data types.

Description

technical field [0001] The present invention relates to the field of network technology, in particular to an IP positioning method based on Bayesian and deep neural network. Background technique [0002] The goal of IP-based network entity geolocation technology is to locate the geographical location of users and devices in the network under the condition of knowing the IP addresses of users or devices. Therefore, IP geolocation technology can help Internet service providers distinguish users geographically, so as to provide more geographically related services. [0003] For example, for targeted advertisements, when host users or mobile device users visit web pages and APP applications, if the Internet service provider knows the user's location, it can add more targeted advertisements based on the user's geographical location, thereby improving How well your ad served. Some websites and applications can also adjust the page content according to the user's geographical loc...

Claims

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Application Information

Patent Timeline
07 Jun 2019
Publication
CN109858508A
IPC
G06K9/62; G06N3/08; H04L12/58
Inventors
尚凤军; 夏兴然