CN109104456A - A kind of user tracking based on browser fingerprint and propagating statistics analysis method - Google Patents
A kind of user tracking based on browser fingerprint and propagating statistics analysis method Download PDFInfo
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- CN109104456A CN109104456A CN201810580659.7A CN201810580659A CN109104456A CN 109104456 A CN109104456 A CN 109104456A CN 201810580659 A CN201810580659 A CN 201810580659A CN 109104456 A CN109104456 A CN 109104456A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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Abstract
The invention discloses a kind of user tracking based on browser fingerprint and propagating statistics analysis method, this method is created for the web page program of user's access and propagation first；Then it is obtained by web page program and shares Role Users fingerprint and calculate comprehensive fingerprint；Share Role Users and shares the web page program link for carrying user identifier to other users；Other users, which browse, shares the web page program that Role Users are shared；Last web page program report of user information, propagation information are analyzed to server.The present invention can generate one kind and not depend on Cookie, mainly by the user identifier of computer hardware, browser environment, inter-network station can be supported to generate the same mark；By browser fingerprint-collection, tracks reliable user information and carry the user identifier of participator when user propagates；Server records user and accesses record, shares source parameter with carrying, obtains propagation parameter, and then analyze user behavior.
Description
Technical field
The present invention relates to a kind of user trackings and propagating statistics analysis method, and in particular to a kind of based on browser fingerprint
User tracking and propagating statistics analysis method, belong to Internet technical field.
Background technique
Widely available with internet, the network behavior data of hundreds of millions of netizens early have become most valuable money
Source, enterprise understand behavior and the private data of netizen by omnifarious various means, for advertisement delivery, user interest point
Analysis, acess control etc., and then the foundation as decision.Now, with the development of the Intelligent hardwares such as computer cell phone and web technology
Maturation, the content that webpage can be shown is more and more abundant, is collected using Web client to user behavior and tracking is important hand
One of section.Meanwhile webpage, with lightweight, compatibility is strong, and iteration speed is fast, and it is at low cost, the characteristics of easily propagation, using increasingly
Extensively.Based on user tracking technology, user can be obtained and pass through social networks, the quantity of propagation and track.It can be used to big number
There is very big value and significance in fields such as safety, analysis user demands according to analysis.
WEB tracer technique has following several at present:
1, browser Cookie
Sometimes plural form Cookies is also used, the tracking indicated by cookie this kind of server-side in client setting
Technology.When user browses web sites, server-side is arranged in client to be indicated, website service end stores this and indicates corresponding user
Information.When browser then accesses website, this mark can be carried, server is passed to, for distinguishing user identity and maintenance
State.
2、Evercookie
Evercookie is by Cookie by number of mechanisms, such as to be saved in system more by Flash, Java, Silverlight
A place, if user deletes the Cookie at wherein a few places, Evercookie still can restore Cookie, if opening this
Ground shared object (Local Shared Objects), Evercookie can even be propagated with browser-cross.
3, Cookie is synchronous
Cookie is synchronized when referring to that user accesses certain website A, and the website is by modes such as page jumps by user's
Cookie is sent to the website B, so that the website B gets user in the user privacy information of the website A
Web mainly is with HTTP Referer in the prior art and propagates analysis, and Referer requests head file to allow by visitor
Specify the URI field of resource from which request address in family end.Referer request header can take request money by server
The source in source can be used for analyzing hobby, collector journal, optimization caching of user etc., while also allow server can
It was found that out-of-date and mistake link and safeguarding in time.
But as the raising of netizen's privacy aware, the use of Cookie are increasingly restricted, many security tools are even
It is that browser all allows or guide closing tracking Cookie, user can be removed by emptying the modes such as browser rs cache
The Cookie of preservation causes server-side to lose the label to user.
Using Cookie, although tracking can be realized simply, cookie is easy to be tampered or simulate, tracking
The information arrived is not necessarily reliable.
It is synchronous by Cookie, need both sides to set up the mechanism of identification certification mutually, it has not been convenient to the big model between more websites
Enclose popularization.
Propagation analytical technology based on HTTP Referer, will acquire in following several situations less than:
Server-side is jumped by HTTP Location instruction；
By Javascript call window.location.replace, window.location.href method,
HTTP_REFERER information can not be obtained under IE6, IE7 and IE8.
Therefore, it develops one kind and does not depend on Cookie, mainly by the user identifier of computer hardware, browser environment, use
When family is propagated, the user tracking and propagating statistics analysis method right and wrong based on browser fingerprint of the user identifier of participator are carried
It is often necessary, and the invention also has important application prospect.
Summary of the invention
The present invention is directed to the drawbacks of prior art, provides one kind and does not depend on Cookie, mainly passes through computer hardware, browsing
The user identifier of device environment, when user propagates, carry the user tracking based on browser fingerprint of the user identifier of participator with
Propagating statistics analysis method.
In order to achieve the above objectives, the technical scheme adopted by the invention is that:
A kind of user tracking based on browser fingerprint and propagating statistics analysis method, which is characterized in that the method packet
Include following steps:
S1, the web page program for being created for user's access and propagating；
S2, web page program, which obtain, to be shared Role Users fingerprint and calculates comprehensive fingerprint；
S3, share the web page program link that Role Users carry user identifier to other users sharing；
S4, other users, which browse, shares the web page program that Role Users are shared；
S5, web page program report of user information, propagation information are analyzed to server.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S2, the user fingerprints mark includes basic fingerprint and advanced fingerprint.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S2, basic fingerprint includes but is not limited to the following terms: type of hardware, operating system, user agent, system font, system language
Speech, screen resolution, browser plug-in, browser extension, time zone are poor.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S2, advanced fingerprint includes but is not limited to the following terms: at pictorial information, audio signal based on Canvas drafting specific content
The IP of AudioContext information that difference in reason generates, the client obtained by the real-time communication function of WebRTC
Location.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S2, the comprehensive fingerprint is obtained by basic fingerprint and advanced fingerprint COMPREHENSIVE CALCULATING cryptographic Hash.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S5, the network program transmits information to server by networked beacons.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S5, the user information includes but is not limited to the following terms: the fingerprint ID of user, be broadcast to active user user fingerprint
Internal address, the public network address where user, networked beacons where language that ID, time zone, user where user use, user
The network address of place webpage, the source page address of networked beacons place webpage, the networked beacons accessed time.
User tracking above-mentioned based on browser fingerprint and propagating statistics analysis method, which is characterized in that the step
In S5, server carries out data check, record, analysis to the data of acquirement, classification, according to sharing for visitor and web page program
Source analysis goes out the hierarchical relationship that user propagates outward, and then the propagation index of the web page program got.
Compared with prior art, the invention has the beneficial effects that:
(1) one kind can be generated and not depend on Cookie, mainly pass through the user identifier of computer hardware, browser environment,
Inter-network station can be supported to generate the same mark；
(2) it by browser fingerprint-collection, tracks reliable user information and carries the user of participator when user propagates
Mark；
(3) server record user accesses record, shares source parameter with carrying, obtains propagation parameter, and then analyze
User behavior.
Detailed description of the invention
Fig. 1 is the flow diagram of the user tracking based on browser fingerprint and propagating statistics analysis method of the invention.
Specific embodiment
Specific introduce is made to the present invention below in conjunction with the drawings and specific embodiments.
Referring to Fig.1, the user tracking of the invention based on browser fingerprint and propagating statistics analysis method, including following step
It is rapid:
S1, the web page program for being created for user's access and propagating；
S2, web page program, which obtain, to be shared Role Users fingerprint and calculates comprehensive fingerprint；
S3, share the web page program link that Role Users carry user identifier to other users sharing；
S4, other users, which browse, shares the web page program that Role Users are shared；
S5, web page program report of user information, propagation information are analyzed to server.
As a preferred solution, in step S2, user fingerprints mark includes basic fingerprint and advanced fingerprint, similar people
Appearance and fingerprint, also there are many " appearance " information and " fingerprint " information for Web client (referring mainly to browser here), by these
After information comprehensive analysis calculates, client uniqueness can be identified, and then track, understand netizen's behavior and private data.
As a kind of more preferred scheme, in step S2, basic fingerprint includes but is not limited to the following terms: hardware classes
Type, operating system, user agent, system font, system language, screen resolution, browser plug-in, browser extension, time zone
Difference, basic fingerprint are the signature identifications that any browser all has.
As a kind of more preferred scheme, in step S2, advanced fingerprint includes but is not limited to the following terms: being based on
Canvas draws the pictorial information of specific content, the AudioContext information that the difference in Audio Signal Processing generates, passes through
The IP address for the client that the real-time communication function of WebRTC obtains.
The pictorial information of specific content is drawn based on Canvas: drawing the picture of specific content based on Canvas, is used
The base64 that canvas.toDataURL () method obtains image content is encoded (for the picture of PNG format, with block (chunk)
Divide, last block is 32 CRC checks) it is used as unique identification；
The AudioContext information that difference in Audio Signal Processing generates: host or browser hardware or software it is thin
Elementary errors is other, leads to the difference in the processing of audio signal, and the same money browser in same machines generates identical audio output, no
The audio output generated with machine or different browsers can have differences；
Pass through the IP address for the client that the real-time communication function of WebRTC obtains: WebRTC (webpage real time communication, Web
Real Time Communication), it is the API that a supported web page browser carries out real-time voice dialogue or video conversation,
Function is that browser is allowed to obtain and exchange in real time video, audio and data, and the real-time communication function based on WebRTC is available
The IP address of client, including local internal address and public network address.
As a preferred solution, in step S2, comprehensive fingerprint is by basic fingerprint and advanced fingerprint COMPREHENSIVE CALCULATING Hash
It is worth.
As a preferred solution, in step S5, network program transmits information to server by networked beacons；
Networked beacons (web beacon) are the 1*1 pixel sizes that can be hidden in any web page element or mail
Transparent GIF or PNG picture, Web beacon can identify some kinds of information in relation to visitor computer, such as access
The cookie number of person checks the time and date of the page and the description to the page where Web beacon；
Unlike Cookie can be accepted or rejected by browser client, networked beacons are only with GIF(Graphic Interchange format) (GIF)
Or the form of alternative document object occurs, it is typically only capable to be detected, if user checks that the source version of webpage can find one
The label of other parts load from different Web servers rather than from webpage.
As a preferred solution, in step S5, user information includes but is not limited to the following terms: the fingerprint of user
Interior entoilage where language that time zone, user where ID, the fingerprint ID of user for being broadcast to active user, user use, user
The source page address of webpage where public network address where location, user, the network address of webpage where networked beacons, networked beacons,
The networked beacons accessed time.
As a preferred solution, in step S5, server carries out data check, record, analysis to the data of acquirement,
Classification, goes out the hierarchical relationship that user propagates outward with the source analysis of sharing of web page program according to visitor, and then get
The propagation index of web page program.
Server obtain after data, be further continued for obtaining the information such as browser, the IP of user, by being transmitted through with networked beacons
The data check come verifies authenticity, and after verification, to data record, analysis, then classification shares visitor with it
Relationship is propagated as the side of digraph as node entities, using this in source, can analyze the hierarchical relationship that user propagates outward, into
And the propagation index of the available network address arrived.
In conclusion the user tracking of the invention based on browser fingerprint and propagating statistics analysis method, can generate
One kind not depending on Cookie, and mainly by the user identifier of computer hardware, browser environment, and it is same to support that inter-network station generates
One mark；By browser fingerprint-collection, reliable user information is tracked, when user propagates, carries user's mark of participator
Know；Server records user and accesses record, shares source parameter with carrying, obtains propagation parameter, and then analyze user behavior.
It should be noted that the foregoing is merely presently preferred embodiments of the present invention, it is not intended to limit the invention, it is all at this
Within the spirit and principle of invention, any modification, equivalent replacement, improvement and so on should be included in protection model of the invention
Within enclosing.
Claims (8)
1. a kind of user tracking based on browser fingerprint and propagating statistics analysis method, which is characterized in that the method includes
Following steps:
S1, the web page program for being created for user's access and propagating；
S2, web page program, which obtain, to be shared Role Users fingerprint and calculates comprehensive fingerprint；
S3, share the web page program link that Role Users carry user identifier to other users sharing；
S4, other users, which browse, shares the web page program that Role Users are shared；
S5, web page program report of user information, propagation information are analyzed to server.
2. the user tracking according to claim 1 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S2, the user fingerprints mark includes basic fingerprint and advanced fingerprint.
3. the user tracking according to claim 2 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S2, basic fingerprint includes but is not limited to the following terms: type of hardware, operating system, user agent, system
Font, system language, screen resolution, browser plug-in, browser extension, time zone are poor.
4. the user tracking according to claim 2 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S2, advanced fingerprint includes but is not limited to the following terms: drawing the picture letter of specific content based on Canvas
AudioContext information that breath, the difference in Audio Signal Processing generate is obtained by the real-time communication function of WebRTC
The IP address of client.
5. the user tracking according to claim 2 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S2, the comprehensive fingerprint is obtained by basic fingerprint and advanced fingerprint COMPREHENSIVE CALCULATING cryptographic Hash.
6. the user tracking according to claim 1 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S5, the network program transmits information to server by networked beacons.
7. the user tracking according to claim 1 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S5, the user information includes but is not limited to the following terms: the fingerprint ID of user, being broadcast to active user
The fingerprint ID of user, the language that time zone, user where user use, the internal address where user, the public network where user
The source page address of webpage, networked beacons where address, the network address of webpage where networked beacons, networked beacons it is accessed when
Between.
8. the user tracking according to claim 1 based on browser fingerprint and propagating statistics analysis method, feature exist
In in the step S5, server carries out data check, record, analysis, classification, according to visitor and net to the data of acquirement
The sharing source analysis of page program goes out the hierarchical relationship that user propagates outward, and then the propagation index of the web page program got.
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| CN109918892A (en) * | 2019-02-13 | 2019-06-21 | 平安科技（深圳）有限公司 | Verification code generation method, device and storage medium, computer equipment |
| CN110415045A (en) * | 2019-08-02 | 2019-11-05 | 秒针信息技术有限公司 | A kind of method, apparatus, equipment and medium to browser advertisement |
| CN110737835A (en) * | 2019-10-15 | 2020-01-31 | 北京丁牛科技有限公司 | browser anti-tracking method and device |
| CN110990825A (en) * | 2019-11-26 | 2020-04-10 | 湖北享七网络科技有限公司 | Method and device for binding recommender and recommended person, storage medium and electronic equipment |
| CN111064822A (en) * | 2019-12-23 | 2020-04-24 | 北京丁牛科技有限公司 | User tracking method and device and electronic equipment |
| CN111309578A (en) * | 2020-02-20 | 2020-06-19 | 北京深演智能科技股份有限公司 | Method and device for identifying object |
| CN111447137A (en) * | 2020-02-29 | 2020-07-24 | 中国平安人寿保险股份有限公司 | Browsing condition data analysis method and device, server and storage medium |
| CN111459577A (en) * | 2020-04-08 | 2020-07-28 | 深圳游禧科技有限公司 | Application installation source tracking method, device, equipment and storage medium |
| CN111478892A (en) * | 2020-04-02 | 2020-07-31 | 广州锦行网络科技有限公司 | Attacker portrait multi-dimensional analysis method based on browser fingerprints |
| CN111756744A (en) * | 2020-06-24 | 2020-10-09 | 中国平安财产保险股份有限公司 | H5 user identification method, device, equipment and storage medium |
| CN113037746A (en) * | 2021-03-05 | 2021-06-25 | 中国工商银行股份有限公司 | Method and device for extracting client fingerprint, identifying identity and detecting network security |
| CN116095137A (en) * | 2022-12-21 | 2023-05-09 | 北京隆道网络科技有限公司 | Intelligent data acquisition and pushing method and system based on supply chain management |
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| CN111447137A (en) * | 2020-02-29 | 2020-07-24 | 中国平安人寿保险股份有限公司 | Browsing condition data analysis method and device, server and storage medium |
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| CN111756744A (en) * | 2020-06-24 | 2020-10-09 | 中国平安财产保险股份有限公司 | H5 user identification method, device, equipment and storage medium |
| CN111756744B (en) * | 2020-06-24 | 2022-08-12 | 中国平安财产保险股份有限公司 | H5 user identification method, device, equipment and storage medium |
| CN113037746A (en) * | 2021-03-05 | 2021-06-25 | 中国工商银行股份有限公司 | Method and device for extracting client fingerprint, identifying identity and detecting network security |
| CN113037746B (en) * | 2021-03-05 | 2022-11-01 | 中国工商银行股份有限公司 | Method and device for extracting client fingerprint, identifying identity and detecting network security |
| CN116095137A (en) * | 2022-12-21 | 2023-05-09 | 北京隆道网络科技有限公司 | Intelligent data acquisition and pushing method and system based on supply chain management |
| CN116095137B (en) * | 2022-12-21 | 2023-08-18 | 北京隆道网络科技有限公司 | Intelligent data acquisition and pushing method and system based on supply chain management |
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