CN106446202A - Anti-interference browser fingerprint generation method based on implicit characteristic acquisition - Google Patents
Anti-interference browser fingerprint generation method based on implicit characteristic acquisition Download PDFInfo
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- CN106446202A CN106446202A CN201610868064.2A CN201610868064A CN106446202A CN 106446202 A CN106446202 A CN 106446202A CN 201610868064 A CN201610868064 A CN 201610868064A CN 106446202 A CN106446202 A CN 106446202A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
The invention relates to an anti-interference browser fingerprint generation method based on implicit characteristic acquisition. The anti-interference browser fingerprint generation method comprises the following steps: S1, performing effect difference implicit processing on CSS interpretation by using a browser so as to obtain browser characteristic information such as the type and edition of a browser, the resolution of a screen, an equipment pixel ratio and Firefox special information; S2, performing font exploration method implicit processing so as to obtain font characteristic information in the browser; S3, combining the browser characteristic information acquired in the step S1 with the font characteristic information acquired in the step S2, so as to generate fingerprint. By adopting the anti-interference browser fingerprint generation method, interference of a fingerprint interference tool in directly calling a system API display to acquire a font list, the resolution of the screen, the edition of the browser and the like can be avoided, and effective fingerprint can be still generated when the interference tool is used.
Description
Technical field
The present invention relates to browser fingerprint technique field, it is anti-interference clear that more particularly to a kind of feature based implicit expression obtains
Look at device fingerprint generation method.
Background technology
Development and Internet user with computer technology are continuously increased, the information exchange carrying out in web application
More and more.When user browses web sites, the session state information such as user profile, execution state, personal data will be saved
In the cookie of user equipment.However, while cookie associates offer support for user's identification with behavior, also having caused use
The problems such as family privacy leakage.In order to protect privacy of user, browser provides the function of disabling cookie, comprises in cookie
Identification information is easily destroyed.Due to the information that takes on a different character in the browser of different user, browser fingerprint technique is led to
Cross the characteristic collecting user browser, there is provided the user identification method in the case of a kind of no cookie.
By analyzing the information interactive process of web access, when finding that user accesses Web site, Web site can be collected
The characteristic informations such as User-Agent, browser version, plug-in unit list, operating system, permissible by being combined to these information
Fingerprint as user's identification.Currently, browser fingerprint can be largely classified into four classes：Browser based on browser environment is specific
Fingerprint, Canvas fingerprint, javascript engine fingerprint, browser-cross fingerprint.By Flash, JavaScript, HTTP
Headers obtains the features such as User Agent, system font, browser plug-in, screen resolution and generates fingerprint.With support
The browser of HTML5 is on the increase, and proposes Canvas fingerprint method, obtains text by Canvas API and WebGL of HTML5
The pixel difference data rendering, generates fingerprint in conjunction with graphic process unit and operating system.By Javascript engine one
The test of cause property determines particular browser and its version number thus generating fingerprint.Browser-cross fingerprint and fingerprint previously discussed are main
Difference is that browser-cross fingerprint uses the characteristic independent of browser when generating fingerprint, and a simple browser-cross refers to
Stricture of vagina algorithm can rely solely on JavaScript and font information.
Conventional browser fingerprint characteristic collection is main to be obtained browser version, can be connect by the HTTP request that user submits
Receive type information etc., by letters such as the screen resolution of JavaScript code acquisition user embedded in the page, plug-in unit, time zones
Breath, obtains font information in combination with Flash method.However, deepening continuously with research, the interference method of browser fingerprint
Constantly it is suggested, some are used for detecting that fingerprint or the instrument of interference fingerprint generation have also obtained different degrees of application, mainly have
FireGlove, Canvasfingerprintblock, Chameleon etc..FireGloves passes through some work(of limiting browser
Stoping the collection of plugin information, and can empty the list of fonts information of browser, stochastic cook screen resolution etc.
Characteristic information.CanvasFingerprintBlock passes through to disable Canvas, is that Canvas element returns null images to do
Disturb the generation of fingerprint；Chameleon can detect whether the website that user accesses has the corelation behaviour of collection user's characteristic information
And point out user to prevent fingerprint.
In sum, browser fingerprint technique is often applied to the aspects such as user tracking, authentication, but fingerprint interference work
Tool can affect the generation of fingerprint by modes such as spurious information, limitation functions.
Content of the invention
In view of this, it is an object of the invention to provide the anti-interference browser fingerprint that a kind of feature based implicit expression obtains generates
Method, obtains browser type, screen resolution, device pixel ratio etc. by browser to the difference on effect implicit expression that CSS explains
Characteristic information, obtains, by font detection method implicit expression, the character feature information comprising in browser, has evaded fingerprint interference work
Tool explicitly obtains, to the system API of directly invoking, the interference that list of fonts, screen resolution, browser version etc. bring, and is using
Effective fingerprint still can be generated in the case of perturbation tool.
The present invention adopts below scheme to realize：The anti-interference browser fingerprint generation side that a kind of feature based implicit expression obtains
Method, comprises the following steps：
Step S1：By browser, the difference on effect implicit expression that CSS explains is obtained including browser type and version, screen
The browser characteristic information of resolution, device pixel ratio and Firefox specific information；
Step S2：The character feature information comprising in browser is obtained by font detection method implicit expression；
Step S3：Character feature by the browser characteristic information obtaining in described step S1 and acquisition in described step S2
Information is combined generating fingerprint.
Further, in described step S1, by dissimilar and version browser, the compatibility of CSS attribute is conciliate
The difference released, implicit expression pushes away to obtain the type of browser and version, and obtains the difference characteristic information included in it.
Further, described CSS attribute includes border-image ,-webkit-mask-image, border-image-
source、box-sizing、background-size、column-count、transform-orign、nav-index、
outline-offset.
Further, in described step S1, obtain device screen resolution, set by Media queries method implicit expression
Standby pixel ratio, Firefox specific information；Wherein, by the wide high characteristic test expression of described Media queries method setting
Formula, according to the result that browser is explained to Media queries push away equipment screen resolution；By described Media
Queries method setting device pixel ratio characteristic test expression formula, the explanation results according to browser obtain device pixel ratio.
Further, in described step S1, described Firefox specific information include whether using Desktop Window Manager,
Whether using windows Default Subject, whether be classical mode.
Further, in described step S2, according to browser renders font difference information, obtained by the method detecting font
Take the character feature information comprising in browser.
Further, in described step S2, any one text text elements left margin and right margin are obtained respectively to clear
Look at device form left margin apart from x1With x2, text element coboundary and lower boundary are to browser window coboundary apart from y1With
y2, and calculate X=x2-x1, Y=y2-y1, X, Y are that the font detection boundary value of the text compares parameter, obtain described text element
The method of character feature information be specially：The default font of text is set first, obtains and record the X after browser renders1、
Y1Then text font is changed to a kind of specific font, records the X after browser renders by value2、Y2Value；Using described spy
The result determining font depends on whether this font on user browser can use, if this specific font do not supported by browser, can
Continue to use default font；The X of record in the case of contrast default font1、Y1The X of record in the case of value and specific font2、Y2Value, logic
Result result=(X1=X2)∧(Y1=Y2), as result, for true, then specific font does not exist, if false then specifies
Font exists, if the number of fonts detecting is more, the character feature diversity being obtained is bigger.
Further, in described step S3, the difference characteristic information collecting in step S1 and step S2, screen are divided
Resolution, device pixel ratio, the specific information of Firefox and character feature information Store in data base, using SHA1 logarithm
According to being encrypted, finally by base64 mode, it is carried out with coding and generate fingerprint.
Further, described browser fingerprint generating algorithm is specially：
Set fingerprint algorithm as F (), when a new browser information x occurs, generate browser fingerprint F (x),
It follows discrete probability density function P (fn),n∈[0,1,...,N]；Fingerprint for certain characteristic parameter generates result fn, make
Represent the bit number that this browser fingerprint comprises information with self-information amount I, it is defined as：
When fingerprint is formed by different combinations of features, set corresponding processing method F of each characteristic parameters(), s ∈ S,
Individually calculate the self-information amount of each feature and define comentropy H (F) of fingerprint assembly according to formula (2) and (3), comentropy table
Levy the expected value of browser all self-informations amount, for two separate features component, self-information amount can direct linear phase
Plus：
Confirm the identity of fingerprint affiliated partner according to self-information amount I, described self-information amount I comprises multiple bit information, passes through
Choose characteristic set that is appropriate and comprising enough bit information, the fingerprint generating by it uniquely confirms the identity of affiliated partner, institute
State characteristic set include character feature information, screen resolution, browser renders font difference information, device pixel ratio,
Firefox specific information.
Compared with prior art, the present invention proposes the anti-interference browser fingerprint generation that a kind of feature based implicit expression obtains
Algorithm, obtains browser type, screen resolution, device pixel ratio etc. by browser to the difference on effect implicit expression that CSS explains
Characteristic information, obtains, by font detection method implicit expression, the character feature information comprising in browser.Evade fingerprint herein to do
Instrument of disturbing explicitly obtains, to the system API of directly invoking, the interference that list of fonts, screen resolution, browser version etc. bring,
Using effective fingerprint still can be generated in the case of perturbation tool.
Brief description
Fig. 1 is the exemplary plot of screen resolution acquisition methods in the embodiment of the present invention.
Fig. 2 is the exemplary plot of pixel ratio acquisition methods in the embodiment of the present invention.
Fig. 3 is that in the embodiment of the present invention, font renders difference schematic diagram.
Fig. 4 is text schematic diagram during detecting parameter in the embodiment of the present invention.
Fig. 5 is the method flow schematic diagram of step S3 in the embodiment of the present invention.
Fig. 6 is the screen resolution test schematic diagram in the embodiment of the present invention.
Fig. 7 is method of the present invention schematic flow sheet.
Specific embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.
The present embodiment provides the anti-interference browser fingerprint generation method that a kind of feature based implicit expression obtains, as shown in fig. 7,
Comprise the following steps：
Step S1：By browser, the difference on effect implicit expression that CSS explains is obtained including browser type and version, screen
The browser characteristic information of resolution, device pixel ratio and Firefox specific information；
Step S2：The character feature information comprising in browser is obtained by font detection method implicit expression；
Step S3：Character feature by the browser characteristic information obtaining in described step S1 and acquisition in described step S2
Information is combined generating fingerprint.
In the present embodiment, in described step S1, by the compatibility to CSS attribute for the browser of dissimilar and version
With the difference explained, implicit expression pushes away to obtain the type of browser and version, and obtains the difference characteristic information included in it, wherein institute
State CSS attribute include border-image ,-webkit-mask-image, border-image-source, box-sizing,
background-size、column-count、transform-orign、nav-index、outline-offset.
In the present embodiment, in the fingerprint characteristic generating browser, User-Agent contains the letter such as browser version
Breath, but the fingerprint perturbation tool of correlation can affect the acquisition of information.Therefore the browser according to dissimilar and version is to CSS
The compatibility of attribute and the difference explained, implicit expression pushes away to obtain the type of browser and version, and the difference obtaining included in it is special
Reference ceases, thus avoiding the impact that fingerprint perturbation tool obtains to characteristic information.The CSS attribute chosen is as shown in table 1, by clear
Look at device to the type of the explanation difference estimation browser of 9 attributes and its version in table.
Table 1 CSS attribute list
In CSS3, Media queries limits the sphere of action of CSS by media characteristic, only meets media special
The corresponding conditionses of property, browser just can call corresponding CSS, and fingerprint perturbation tool cannot limit the work of Media queries
With.
In the present embodiment, in described step S1, device screen is obtained by Media queries method implicit expression and differentiates
Rate, device pixel ratio, Firefox specific information；Wherein, wide high characteristic test is arranged by described Media queries method
Expression formula, according to the result that browser is explained to Media queries push away equipment screen resolution；By described Media
Queries method setting device pixel ratio characteristic test expression formula, the explanation results according to browser obtain device pixel ratio.
Wherein, wide high characteristic test expression formula is set using Media queries method, because browser is only explained and sets
The Media queries that standby width height matches, therefore can push away and must set according to the result that browser is explained to Media queries
Standby screen resolution.As shown in figure 1, the test of Media queries width characteristic, wide when screen resolution is 1024 pixels
When, and the Media queries width characteristic condition coupling in style1, browser will explain to style1；Work as screen
When resolution wide is 1280 pixel, with the Media queries width characteristic condition coupling in style2, browser will be right
Style2 explains.In the same manner, carry out the test of Media queries altitude response.Surveyed according to the high characteristic of Media queries width
The Different matching of examination is as a result, it is possible to release screen resolution information.
Device pixel ratio (devicePixelRatio) is the ratio of equipment physical picture element and equipment independent pixel, and difference sets
Standby device pixel ratio has differences, and arranges device pixel than device pixel ratio characteristic expression formula, root by Media queries
Explanation results according to browser obtain device pixel ratio.As shown in Fig. 2 being respectively provided with pixel ratio expression formula condition is 1 and 2, lead to
Cross browser device pixel be can be derived to the difference that it is explained and compare information.At present the method can only Chrome, Opera,
Execute on Firefox browser, the Media queries of IE browser not holding equipment pixel ratio.
In addition, whether described Firefox specific information is included whether using Desktop Window Manager, is write from memory using windows
Recognize theme, whether be classical mode.Due to the particularity of Firefox browser, in addition to collecting above-mentioned information, also by
Whether Media queries have collected information shown in table 2, thus strengthening the accuracy of fingerprint, wherein managed using desktop window
Device feature, cannot be collected by javascript, and it is permissible to pass through CSS.
Table 2 Firefox specific information
| Media feature | Detection information |
| -moz-windows-compositor | Whether using Desktop Window Manager |
| -moz-windows-default-theme | Whether using windows Default Subject |
| -moz-windows-classic | Whether classical mode |
In the present embodiment, in fingerprint, the conventional font method that obtains is to obtain list of fonts, fingerprint perturbation tool by API
FireGloves can empty list of fonts, in described step S2, according to browser renders font difference information, by probe
The method of body obtains the character feature information comprising in browser.
As shown in figure 3, the first row to be font size identical, font is respectively the text element of Arial, cursive, calibri
The result rendering in Chrome browser, the second row is identical font size, and font is respectively Arial, cursive, calibri
The result that text element renders in Firefox browser, the boundary value that they present is different.Font is in a browser
Render the font type by browser version, installed, antialiasing such as arranges at the factor is affected, same font, the word of identical font size
Symbol can assume different boundary values in different browsers, and different fonts, the character of identical font size are in same browser
Existing boundary value there is also difference.
Then as shown in figure 4, obtaining any one text text elements left margin respectively with right margin to a browser window left side
Border apart from x1With x2, text element coboundary and lower boundary are to browser window coboundary apart from y1With y2, and calculate X
=x2-x1, Y=y2-y1, X, Y are that the font detection boundary value of the text compares parameter, and the font obtaining described text element is special
The method of reference breath is specially：The default font of text is set first, obtains and record the X after browser renders1、Y1Value, then
Text font is changed to a kind of specific font, records the X after browser renders2、Y2Value；Using described specific font
Result depends on whether this font on user browser can use, if this specific font do not supported by browser, can continue to use acquiescence
Font；The X of record in the case of contrast default font1、Y1The X of record in the case of value and specific font2、Y2Value, logical consequence
Result=(X1=X2)∧(Y1=Y2), as result, for true, then specific font does not exist, if false then specific font
Exist, if the number of fonts detecting is more, the character feature diversity being obtained is bigger.
In the present embodiment, in described step S3, as shown in figure 5, the difference that will collect in step S1 and step S2
Characteristic information, screen resolution, device pixel ratio, the specific information of Firefox and character feature information Store are in data base
In, using SHA1, data is encrypted, finally by base64 mode, it is carried out with coding and generate fingerprint.
In the present embodiment, described browser fingerprint generating algorithm is specially：
Set fingerprint algorithm as F (), when a new browser information x occurs, generate browser fingerprint F (x),
It follows discrete probability density function P (fn),n∈[0,1,...,N]；Fingerprint for certain characteristic parameter generates result fn, make
Represent the bit number that this browser fingerprint comprises information with self-information amount I, it is defined as：
When fingerprint is formed by different combinations of features, set corresponding processing method F of each characteristic parameters(), s ∈ S,
Individually calculate the self-information amount of each feature and define comentropy H (F) of fingerprint assembly according to formula (2) and (3), comentropy table
Levy the expected value of browser all self-informations amount, for two separate features component, self-information amount can direct linear phase
Plus：
Confirm the identity of fingerprint affiliated partner according to self-information amount I, described self-information amount I comprises multiple bit information, each
Ownership set possible for this browser fingerprint is halved by bit information.Fingerprint is generated by combinations of features, if each mark has
The comentropy of dry bit, its value is more big, and it more can accurately distinguish different browser entities.Therefore choose appropriate and comprise foot
The characteristic set of enough bit information, the fingerprint being generated by it can uniquely confirm the identity of affiliated partner, described characteristic set bag
Include character feature information, screen resolution, browser renders font difference information, device pixel ratio, Firefox specific information.
In the present embodiment, for the feasibility of verification algorithm, difference characteristic can be carried out and screen resolution is adopted by sub-module
Collection experiment, font detect experiment and fingerprint generates and interference--free experiments.
First, under Windows operating system, carried out CSS attribute solution using the browser of dissimilar different editions
Release test, result is as shown in table 3.Wherein " √ " represents that corresponding testing attribute supported by browser, and "×" represents that browser does not prop up
Hold corresponding testing attribute, " 15+ ", " 22+ " etc. represent that this version of browser and its above version support corresponding testing attribute.
Type and its version of browser can be learnt by this test, if finer partition testing, energy are carried out to browser version
The higher accuracy of enough acquisitions.
Table 3 attribute test
In resolution test, according to screen resolution common at present, quant's sign condition is divided into (width ＜
800), (800≤width ＜ 1024), (1024≤width ＜ 1152), (1152≤width ＜ 1280), (1280≤width
＜ 1360), (1360≤width ＜ 1366), (1366≤width ＜ 1400), (1400≤width ＜ 1440), (1440≤
Width ＜ 1600), (1600≤width ＜ 1680), (1680≤width ＜ 1920), (1920≤width) 12 intervals are entered
Row test；High characteristic condition is divided into (height ＜ 600), (600≤height ＜ 720), (720≤height ＜ 768),
(768≤height ＜ 800), (800≤height ＜ 864), (864≤height ＜ 900), (900≤height ＜ 960),
(960≤height ＜ 1024), (1024≤height ＜ 1050), (1050≤height ＜ 1080) 10 intervals are surveyed
Examination.
Screen resolution test result is as shown in fig. 6, the scatterplot of in figure represents the screen resolution letter of experiment test collection
Breath, the resolution information being gathered by the method implicit expression is consistent with the true resolution of equipment, is adopted using Media queries mode
Collection screen resolution is feasible.
Then detect in experiment in font, choose 230 multiple fonts, the different browsers using distinct device are surveyed
Examination, as shown in table 4, wherein " √ " represents that font exists to part detection result, and "×" represents that font does not exist.By experimental result
Understand that the font information between distinct device, different browsers has differences, if the number of fonts being detected is more, difference
Property is more obvious.
Table 4 font detects example
Finally, build a website, accessed by user and by way of website, carry out fingerprint generation test.Website gathers CSS
Attribute explains the mark number such as different information, screen resolution, device pixel ratio, Firefox specific information, font detection information
According to the browser fingerprint of the data genaration user by collecting.Website have collected the finger print information of 108 users altogether, by
Cookie judging whether the repeated accesses from same user, the access that wherein 101 times are derived from different user, self-information amount is
6.658bit.The mark data being gathered using access website before and after perturbation tool by contrast and fingerprint results carry out anti-doing
Disturb test, result is as shown in table 5.
The anti-interference test result of table 5
Access website first in the case of not using perturbation tool, then install for the FireGloves to anti-fingerprint
Plug-in unit, and empty list of fonts, enable Random mode and generate the functions such as screen resolution information at random, access website again,
Contrast the mark data result gathering twice unanimously, the result that fingerprint generates is also consistent；Equally, compare
Data before and after the installation of CanvasFingerprintBlock plug-in unit, result is also consistent；Net is accessed after Chameleon plug-in unit is installed
Stand, the process of collection apparatus and fingerprint generation is not detected by Chameleon.
In sum, the anti-interference browser fingerprint that a kind of feature based implicit expression that the present embodiment provides obtains generates to be calculated
Method, the difference on effect that browser is explained to CSS attribute, the Different Results of font detection, screen resolution, device pixel ratio etc.
Combinations of features forms fingerprint, and the generation result of fingerprint will not be subject to FireGloves, CanvasFingerprintBlock etc. to refer to
The impact of stricture of vagina perturbation tool.The feasibility of algorithm by experimental verification, test result indicate that the fingerprint that this algorithm generates has
Stronger uniqueness and be difficult to be disturbed.Follow-up work also mainly includes：Excavate other characteristic informations and strengthen fingerprint uniqueness；Make
Carry out widely anti-interference test with more perturbation tool, thus finding deficiency, improving and being not enough to lift capacity of resisting disturbance.
The foregoing is only presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent with
Modify, all should belong to the covering scope of the present invention.
Claims (9)
1. a kind of feature based implicit expression obtains anti-interference browser fingerprint generation method it is characterised in that：Comprise the following steps：
Step S1：The difference on effect implicit expression that CSS explains is obtained differentiate including browser type and version, screen by browser
The browser characteristic information of rate, device pixel ratio and Firefox specific information；
Step S2：The character feature information comprising in browser is obtained by font detection method implicit expression；
Step S3：Character feature information by the browser characteristic information obtaining in described step S1 and acquisition in described step S2
It is combined generating fingerprint.
2. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：In described step S1, by the browser of dissimilar and version to the compatibility of CSS attribute with the difference explained,
Implicit expression pushes away to obtain the type of browser and version, and obtains the difference characteristic information included in it.
3. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 2 obtains, it is special
Levy and be：Described CSS attribute include border-image ,-webkit-mask-image, border-image-source,
box-sizing、background-size、column-count、transform-orign、nav-index、outline-
offset.
4. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：In described step S1, by Media queries method implicit expression obtain device screen resolution, device pixel ratio,
Firefox specific information；Wherein, wide high characteristic test expression formula is arranged by described Media queries method, according to browsing
The result that device is explained to Media queries push away equipment screen resolution；Arranged by described Media queries method
Device pixel ratio characteristic tests expression formula, and the explanation results according to browser obtain device pixel ratio.
5. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 4 obtains, it is special
Levy and be：In described step S1, whether described Firefox specific information includes whether using Desktop Window Manager, uses
Windows Default Subject, whether it is classical mode.
6. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：In described step S2, according to browser renders font difference information, obtained in browser by the method detecting font
The character feature information comprising.
7. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：In described step S2, obtain any one text text elements left margin respectively left to browser window with right margin
Border apart from x1With x2, text element coboundary and lower boundary are to browser window coboundary apart from y1With y2, and calculate X
=x2-x1, Y=y2-y1, X, Y are that the font detection boundary value of the text compares parameter, and the font obtaining described text element is special
The method of reference breath is specially：The default font of text is set first, obtains and record the X after browser renders1、Y1Value, then
Text font is changed to a kind of specific font, records the X after browser renders2、Y2Value；Using described specific font
Result depends on whether this font on user browser can use, if this specific font do not supported by browser, can continue to use acquiescence
Font；The X of record in the case of contrast default font1、Y1The X of record in the case of value and specific font2、Y2Value, logical consequence
Result=(X1=X2)∧(Y1=Y2), as result, for true, then specific font does not exist, if false then specific font
Exist, if the number of fonts detecting is more, the character feature diversity being obtained is bigger.
8. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：In described step S3, by the difference characteristic information collecting in step S1 and step S2, screen resolution, equipment
Pixel ratio, the specific information of Firefox and character feature information Store, in data base, carry out to data adding using SHA1
Close, finally by base64 mode, it is carried out with coding and generate fingerprint.
9. the anti-interference browser fingerprint generation method that a kind of feature based implicit expression according to claim 1 obtains, it is special
Levy and be：Described browser fingerprint generating algorithm is specially：
Set fingerprint algorithm as F (), when a new browser information x occurs, generate browser fingerprint F (x), it is abided by
Follow discrete probability density function P (fn),n∈[0,1,...,N]；Fingerprint for certain characteristic parameter generates result fn, using certainly
Quantity of information I represents the bit number that this browser fingerprint comprises information, and it is defined as：
When fingerprint is formed by different combinations of features, set corresponding processing method F of each characteristic parameters(), s ∈ S, according to
Formula (2) and (3) individually calculate the self-information amount of each feature and define comentropy H (F) of fingerprint assembly, and comentropy characterizes clear
The expected value of device of looking at all self-informations amount, for two separate features component, self-information amount can direct linear, additive：
Confirm the identity of fingerprint affiliated partner according to self-information amount I, described self-information amount I comprises multiple bit information, by choosing
Characteristic set that is appropriate and comprising enough bit information, the fingerprint being generated by it uniquely confirms the identity of affiliated partner, described spy
Collection is closed and is included character feature information, screen resolution, browser renders font difference information, device pixel ratio, Firefox spy
Different information.
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| CN106951765A (en) * | 2017-03-31 | 2017-07-14 | 福建北卡科技有限公司 | A kind of zero authority mobile device recognition methods based on browser fingerprint similarity |
| CN107066974A (en) * | 2017-04-17 | 2017-08-18 | 东南大学 | The terminal device recognition methods that a kind of anti-browser fingerprint changes |
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| CN107944289A (en) * | 2017-10-19 | 2018-04-20 | 北京知道未来信息技术有限公司 | A kind of embedded device of browser fingerprint detection method and detection browser fingerprint |
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| CN106951765A (en) * | 2017-03-31 | 2017-07-14 | 福建北卡科技有限公司 | A kind of zero authority mobile device recognition methods based on browser fingerprint similarity |
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| CN107066974A (en) * | 2017-04-17 | 2017-08-18 | 东南大学 | The terminal device recognition methods that a kind of anti-browser fingerprint changes |
| CN107239491A (en) * | 2017-04-25 | 2017-10-10 | 广州阿里巴巴文学信息技术有限公司 | For realizing method, equipment, browser and electronic equipment that user behavior is followed the trail of |
| CN107944289A (en) * | 2017-10-19 | 2018-04-20 | 北京知道未来信息技术有限公司 | A kind of embedded device of browser fingerprint detection method and detection browser fingerprint |
| CN109657431A (en) * | 2018-12-07 | 2019-04-19 | 杭州启博科技有限公司 | The method of user identity for identification |
| 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 |
| CN109918892B (en) * | 2019-02-13 | 2023-11-21 | 平安科技（深圳）有限公司 | Verification code generation method and device, storage medium and computer equipment |
| CN110162729A (en) * | 2019-04-04 | 2019-08-23 | 百度在线网络技术（北京）有限公司 | It establishes browser fingerprint and identifies the method, apparatus of browser type |
| CN110162729B (en) * | 2019-04-04 | 2021-09-21 | 百度在线网络技术（北京）有限公司 | Method and device for establishing browser fingerprint and identifying browser type |
| CN110493225A (en) * | 2019-08-20 | 2019-11-22 | 杭州安恒信息技术股份有限公司 | A kind of request transmission method, device, equipment and readable storage medium storing program for executing |
| CN110851883A (en) * | 2019-10-29 | 2020-02-28 | 武汉极意网络科技有限公司 | Equipment fingerprint generation method and device based on picture drawing |
| CN112765578A (en) * | 2021-01-26 | 2021-05-07 | 上海黔易数据科技有限公司 | Method for realizing safety privacy calculation based on browser client |
| CN114124439A (en) * | 2021-09-29 | 2022-03-01 | 平安普惠企业管理有限公司 | Login authentication method, device, equipment and storage medium |
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