CN107317891A - A kind of geographic position locating method being distributed towards dynamic IP multizone - Google Patents
A kind of geographic position locating method being distributed towards dynamic IP multizone Download PDFInfo
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- CN107317891A CN107317891A CN201710324739.1A CN201710324739A CN107317891A CN 107317891 A CN107317891 A CN 107317891A CN 201710324739 A CN201710324739 A CN 201710324739A CN 107317891 A CN107317891 A CN 107317891A
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- Prior art keywords
- multizone
- dynamic
- locating method
- geographic position
- positioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/69—Types of network addresses using geographic information, e.g. room number
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/627—Controller area network [CAN] identifiers
Abstract
The invention discloses a kind of geographic position locating method being distributed towards dynamic IP multizone of various embodiments of the present invention, historical rethinking situation based on dynamic IP within a period of time, clustered by using DBSCAN clustering algorithms, draw the distribution of dynamic IP actual position（The coverage is described with circle）, and think that IP distribution is used as the positioning result of dynamic IP.So as to overcome the inaccuracy that IP positioning products are caused using single-point IP positioning methods in the prior art；The positioning precision of single-point IP positioning methods has fixed to country, province, city, even street, but this single-point IP positioning methods can not objectively reflect the true geographical position of multizone dynamic IP.
Description
Technical field
The present invention relates to technology IP field of locating technology, it is distributed in particular it relates to a kind of towards dynamic IP multizone
Geographic position locating method.
Background technology
IP location technologies, are that its geographical position is determined by the IP address of equipment.The IP location technologies of superhigh precision should
With field widely, government department, the analysis of public opinion of community's granularity can be carried out by the service to the network behavior of the people,
So as to be fully understood from the will of the people, the policy more benefited the nation and the people is made；Security department, network attack can be obtained by the service
Source target location, lifted network security defence capability；The on-line payment at business end, user strange land can be realized by the service
Early warning is logged in, the security of transaction is lifted；The online advertisement at business end, can be realized based on user's real time position by the service
Advertisement pushing, lift the dispensing accuracy of advertisement, obtain maximum business profit.According to IP regional allocations characteristic, IP
Dynamic and static distribution two states can be divided into.Static IP, in a fixed time period, the IP like will be fixed on a place
Use；Such as, the IP that school uses, these IP use long-time in campus context.Dynamic IP, within a period of time, dynamic
Ground is distributed in multiple regions and is shared and uses；Such as, mobile IP, shares in the range of Henan Province and uses；House IP, some
Share and use in individual the scope of adjacent area.
Existing IP positioning products are that IP is navigated into wide in range or specific geographical position mostly, and IP is tied up with longitude and latitude
It is fixed.General positioning precision has fixed to country, province, city, even street.But this single-point IP positioning methods can not visitor
See and reflect the real geographical position of some IP.Such as：It was found from the distribution use analysis of dynamic IP, mobile network, house
The IP of typical case's NET port translations such as user, WLAN, it is big that traditional One-Point Location mode easily causes deviations, it is impossible to objective
Ground reflection multizone distribution dynamic IP actual position.
The content of the invention
It is an object of the present invention in view of the above-mentioned problems, propose a kind of geographical position being distributed towards dynamic IP multizone
Localization method is put, to realize the true geographical position for objectively reflecting multizone dynamic IP.
To achieve the above object, the technical solution adopted by the present invention is：A kind of ground being distributed towards dynamic IP multizone
Location positioning method is managed, is mainly included：
Step 1：Obtain the IP position distribution situation information of multiple data sources in a period of time；
Step 2：The basic data of multiple data sources is collected together, it is unified that longitude and latitude is transformed under international coordinate system, and
Z-Score standardization is carried out to it, the data after being standardized；
Step 3：Based on step 2, the distribution situation information of IP positions is clustered using DBSCAN clustering algorithms, draws IP's
True distribution is simultaneously positioned.
Further, the step 3 comprises the following steps：
Step 31：Density Clustering is carried out to the data after step 2 Plays using DBSCAN clustering algorithms；
Step 32：Cluster result in step 31 is arranged, the basic data to cluster is marked, rejecting abnormalities point；
Step 33：The minimum circumscribed circle each organized after cluster is calculated as the positioning result in the region, result is shown on map.
Further, in the step 1, by way of gathering distributed network crawler technology and manually, obtain multiple
The IP position distribution situation information of data source.
Further, the international coordinate system is WGS-84.
A kind of geographic position locating method being distributed towards dynamic IP multizone of various embodiments of the present invention, based on dynamic
Historical rethinking situations of the IP within a period of time, is clustered by using DBSCAN clustering algorithms, draws the true position of dynamic IP
The distribution put（The coverage is described with circle）, and think that IP distribution is used as the positioning result of dynamic IP.From
And the inaccuracy that IP positioning products are caused using single-point IP positioning methods in the prior art can be overcome；Single-point IP positioning methods
Positioning precision have and fixed arrive country, province, city, even street.But this single-point IP positioning methods can not be objectively
Reflect the true geographical position of multizone dynamic IP.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and constitutes a part for specification, the reality with the present invention
Applying example is used to explain the present invention together, is not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the distribution map of the dynamic IP multizone described in the specific embodiment of the invention；
Fig. 2 is the design sketch of the DBSCAN clustering algorithms described in the specific embodiment of the invention；
Fig. 3 is the locating effect figure of the dynamic IP multizone distribution described in the specific embodiment of the invention.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that preferred reality described herein
Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Explanation is added by way of example.For a dynamic IP,
1）Obtain multiple data sources in a period of time（The Online Maps such as multiple data sources, such as Baidu, Gao De and search dog）IP positions
Put distribution situation；
The step obtains the IP position distribution feelings in multiple sources distributed network crawler technology and by way of manually gathering
Condition.
2）Data prediction；
By the basic data of multiple data sources（IP position distribution situations）Collect together, it is unified that longitude and latitude is transformed into international seat
Mark system（WGS-84）Under.Z-Score standardization is carried out to it to eliminate the otherness of longitude and latitude numerically.After standardization
As a result（Such as Fig. 1）It is allowed to all look like the data of standardized normal distribution on longitude and latitude, is easy to enter it line density and gathers
Class.
3）Use DBSCAN clustering algorithms（The algorithm apart from effect such as Fig. 2）Distribution situation to IP positions is gathered
Class, draws IP true distribution and positions
First, Density Clustering is carried out to the data after standardization using DBSCAN clustering algorithms；Secondly, cluster result is carried out whole
Reason, the basic data to cluster is marked, rejecting abnormalities point（Noise point）；Finally, each group after cluster is calculated（Class）Most
Small circumscribed circle shows result on map as the positioning result in the region（Such as Fig. 3）.
Following beneficial effect can at least be reached：The dynamic IP multizone characteristic distributions ignored before overcoming, are solved
The problem of IP positioning products can not be accurately positioned to multizone distribution IP.Originally put and be subject to this feature by clustering algorithm
Analysis, obtains the true positioning of dynamic IP multizone distribution.The confidence of positioning can so be improved.Simultaneously, it is to avoid reduce dynamic
Regional extent that state IP is covered and the positioning that causes is inaccurate.
Finally it should be noted that：The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention,
Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic.
Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., should be included in the present invention's
Within protection domain.
Claims (4)
1. a kind of geographic position locating method being distributed towards dynamic IP multizone, it is characterised in that comprise the following steps：
Step 1：Obtain the IP position distribution situation information of multiple data sources in a period of time；
Step 2：The IP position distribution situation information of multiple data sources is collected together, it is unified that longitude and latitude is transformed into international seat
Under mark system, and Z-Score standardization is carried out to it, the data after being standardized；
Step 3：Based on step 2, the distribution situation information of IP positions is clustered using DBSCAN clustering algorithms, draws IP's
True distribution is simultaneously positioned.
2. the geographic position locating method according to claim 1 being distributed towards dynamic IP multizone, it is characterised in that
The step 3 comprises the following steps：
Step 31：Density Clustering is carried out to the data after step 2 Plays using DBSCAN clustering algorithms；
Step 32：Cluster result in step 31 is arranged, the basic data to cluster is marked, rejecting abnormalities point；
Step 33：The minimum circumscribed circle each organized after cluster is calculated as the positioning result in the region, result is shown on map.
3. the geographic position locating method according to claim 2 being distributed towards dynamic IP multizone, it is characterised in that
In the step 1, by way of gathering distributed network crawler technology and manually, the IP position distributions of multiple data sources are obtained
Situation information.
4. the geographic position locating method according to claim 1 being distributed towards dynamic IP multizone, it is characterised in that
The international coordinate system is WGS-84.
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| CN201710324739.1A CN107317891A (en) | 2017-05-10 | 2017-05-10 | A kind of geographic position locating method being distributed towards dynamic IP multizone |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118007A (en) * | 2018-08-21 | 2019-01-01 | 南京中孚信息技术有限公司 | Paths planning method, device, electronic equipment and storage medium |
| CN110661899A (en) * | 2018-12-29 | 2020-01-07 | 北京奇虎科技有限公司 | Method and device for determining physical address of IP address |
| CN112491639A (en) * | 2020-09-29 | 2021-03-12 | 南京大学 | Anycast region division measuring method based on domain name resolution |
| WO2021088107A1 (en) * | 2019-11-04 | 2021-05-14 | 北京数字联盟网络科技有限公司 | Ip positioning method and device, computer storage medium, and computer device |
| CN113407796A (en) * | 2021-05-13 | 2021-09-17 | 郑州埃文计算机科技有限公司 | Static IP building-level positioning method based on IP historical positions |
| CN113408580A (en) * | 2021-05-13 | 2021-09-17 | 郑州埃文计算机科技有限公司 | Dynamic IP positioning clustering method based on scene characteristics |
| CN113489758A (en) * | 2021-06-02 | 2021-10-08 | 国家计算机网络与信息安全管理中心 | Datum point collecting and cleaning method based on APP flow data |
| CN114520799A (en) * | 2021-12-27 | 2022-05-20 | 中国人民解放军战略支援部队信息工程大学 | Urban IP positioning and error estimation method and system based on minimum circle coverage |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243822A1 (en) * | 2007-03-28 | 2008-10-02 | Bruce Campbell | System and method for associating a geographic location with an Internet protocol address |
| CN102289585A (en) * | 2011-08-15 | 2011-12-21 | 重庆大学 | Real-time monitoring method for energy consumption of public building based on data mining |
| CN103220376A (en) * | 2013-03-30 | 2013-07-24 | 清华大学 | Method for positioning IP (Internet Protocol) by position data of mobile terminal |
| CN105718465A (en) * | 2014-12-02 | 2016-06-29 | 阿里巴巴集团控股有限公司 | Geofence generation method and device |
| CN105933294A (en) * | 2016-04-12 | 2016-09-07 | 晶赞广告（上海）有限公司 | Network user positioning method, device and terminal |
| CN106027693A (en) * | 2016-06-30 | 2016-10-12 | 百度在线网络技术（北京）有限公司 | Positioning method and positioning apparatus based on IP address |
| CN106534392A (en) * | 2015-09-10 | 2017-03-22 | 阿里巴巴集团控股有限公司 | Positioning information acquiring method, positioning method and apparatus |
-
2017
- 2017-05-10 CN CN201710324739.1A patent/CN107317891A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243822A1 (en) * | 2007-03-28 | 2008-10-02 | Bruce Campbell | System and method for associating a geographic location with an Internet protocol address |
| CN102289585A (en) * | 2011-08-15 | 2011-12-21 | 重庆大学 | Real-time monitoring method for energy consumption of public building based on data mining |
| CN103220376A (en) * | 2013-03-30 | 2013-07-24 | 清华大学 | Method for positioning IP (Internet Protocol) by position data of mobile terminal |
| CN105718465A (en) * | 2014-12-02 | 2016-06-29 | 阿里巴巴集团控股有限公司 | Geofence generation method and device |
| CN106534392A (en) * | 2015-09-10 | 2017-03-22 | 阿里巴巴集团控股有限公司 | Positioning information acquiring method, positioning method and apparatus |
| CN105933294A (en) * | 2016-04-12 | 2016-09-07 | 晶赞广告（上海）有限公司 | Network user positioning method, device and terminal |
| CN106027693A (en) * | 2016-06-30 | 2016-10-12 | 百度在线网络技术（北京）有限公司 | Positioning method and positioning apparatus based on IP address |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118007A (en) * | 2018-08-21 | 2019-01-01 | 南京中孚信息技术有限公司 | Paths planning method, device, electronic equipment and storage medium |
| CN110661899A (en) * | 2018-12-29 | 2020-01-07 | 北京奇虎科技有限公司 | Method and device for determining physical address of IP address |
| WO2021088107A1 (en) * | 2019-11-04 | 2021-05-14 | 北京数字联盟网络科技有限公司 | Ip positioning method and device, computer storage medium, and computer device |
| CN112491639A (en) * | 2020-09-29 | 2021-03-12 | 南京大学 | Anycast region division measuring method based on domain name resolution |
| CN112491639B (en) * | 2020-09-29 | 2022-10-18 | 南京大学 | Anycast region division measuring method based on domain name resolution |
| CN113407796A (en) * | 2021-05-13 | 2021-09-17 | 郑州埃文计算机科技有限公司 | Static IP building-level positioning method based on IP historical positions |
| CN113408580A (en) * | 2021-05-13 | 2021-09-17 | 郑州埃文计算机科技有限公司 | Dynamic IP positioning clustering method based on scene characteristics |
| CN113489758A (en) * | 2021-06-02 | 2021-10-08 | 国家计算机网络与信息安全管理中心 | Datum point collecting and cleaning method based on APP flow data |
| CN114520799A (en) * | 2021-12-27 | 2022-05-20 | 中国人民解放军战略支援部队信息工程大学 | Urban IP positioning and error estimation method and system based on minimum circle coverage |
| CN114520799B (en) * | 2021-12-27 | 2023-05-05 | 中国人民解放军战略支援部队信息工程大学 | Urban IP positioning and error estimation method and system based on minimum circle coverage |
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Application publication date: 20171103 |