CN110335401A - Anti- brush ticket method and device based on voting behavior monitoring - Google Patents
Anti- brush ticket method and device based on voting behavior monitoring Download PDFInfo
- Publication number
- CN110335401A CN110335401A CN201910495791.2A CN201910495791A CN110335401A CN 110335401 A CN110335401 A CN 110335401A CN 201910495791 A CN201910495791 A CN 201910495791A CN 110335401 A CN110335401 A CN 110335401A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- voting behavior
- ballot
- voting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C13/00—Voting apparatus
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the present invention discloses a kind of anti-brush ticket method and device based on voting behavior monitoring, wherein method includes the following steps: to obtain voting behavior data of the user on the ballot page using preset data statistical, judged to execute whether the object of action of voting behavior is real user according to the data characteristic of voting behavior data, when judging object of action for non-real real user, malice brush ticket prompt information is exported.It can identify that user is real user or ballot software by monitoring user in the voting behavior data of the ballot page using the present invention, prevent ballot software from, by throwing object malice brush ticket, guaranteeing the fairness of ballot activity to same, improving user ballot participation rate.
Description
Technical field
The present invention relates to internet ballot technical field more particularly to a kind of anti-brush ticket methods based on voting behavior monitoring
And device.
Background technique
With the continuous development of Internet technology, various ballot activities can pass through relevant terminal applies or little Cheng
Sequence is stepped in terminal in mobile phone and is completed, and due to the irrationality of supervision, there are the behaviors of malice brush ticket (to pass through brush ticket software or change
Changing the modes such as IP is that unification is repeatedly voted by throwing object), be unfair just Voting principle.
In the prior art, by preventing malice brush ticket method have IP-based ballot limitation, based on cell-phone number verify
Ballot limitation of code etc..The former more uniformly cracks, and the user below same public network IP can have the bug of ballot conflict
There is delay since mobile phone identifying code receives, affect user experience, reduce ballot participation rate in problem, the latter.
Summary of the invention
The embodiment of the present invention provides a kind of anti-brush ticket method and device based on voting behavior monitoring, is existed by monitoring user
The voting behavior data of the ballot page can identify that user is real user or ballot software, prevent ballot software to same
By throwing object malice brush ticket, guarantees the fairness of ballot activity, improve the ballot participation rate of user.
First aspect of the embodiment of the present invention provides a kind of anti-brush ticket method based on voting behavior monitoring, it may include:
Voting behavior data of the user on the ballot page are obtained using preset data statistical;
Judged to execute whether the object of action of voting behavior is real user according to the data characteristic of voting behavior data;
When judging object of action for non-real real user, malice brush ticket prompt information is exported.
Further, the above method further include:
Data encryption is carried out to acquired voting behavior data.
Further, above-mentioned voting behavior data include residence time in the ballot page, page scroll and certain
The click of button.
Further, the above method further include:
When data characteristic instruction voting behavior data are that plug-in unit executes data, confirmation executes the object of action of voting behavior
For non-real real user.
Further, the above method further include:
When data characteristic instruction voting behavior data are that user executes data, confirmation executes the object of action of voting behavior
For real user;
Judge whether the corresponding ballot frequency of voting behavior meets default ballot frequency;
When the judgment result is no, malice brush ticket prompt information is exported.
Second aspect of the embodiment of the present invention provides a kind of anti-brush ticket device based on voting behavior monitoring, it may include:
Behavioral data obtains module, for obtaining ballot row of the user on the ballot page using preset data statistical
For data;
User's property determination module, for judging the behavior of execution voting behavior according to the data characteristic of voting behavior data
Whether object is real user;
Prompt information output module, for when judging object of action for non-real real user, output malice brush tickets-raise up to show letter
Breath.
Further, above-mentioned apparatus further include:
Data encryption module, for carrying out data encryption to acquired voting behavior data.
Further, above-mentioned voting behavior data include residence time in the ballot page, page scroll and certain
The click of button.
Further, above-mentioned user's property determination module is specifically used for when data characteristic instruction voting behavior data being slotting
When part executes data, the object of action that confirmation executes voting behavior is non-real real user.
Further, above-mentioned apparatus further include:
User's property determination module is specifically used for when data characteristic instruction voting behavior data are that user executes data,
The object of action that confirmation executes voting behavior is real user;
Ballot frequency judgment module, for judging whether the corresponding ballot frequency of voting behavior meets default ballot frequency;
Prompt information output module is also used to when the judgment result is no, export malice brush ticket prompt information.
In embodiments of the present invention, by monitoring user in the voting behavior data of the ballot page, identification user is true
User still votes software, prevents ballot software from, by throwing object malice brush ticket, ensure that the fairness of ballot activity to same, mentioning
The high ballot participation rate of user.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described.
Fig. 1 is a kind of flow diagram of anti-brush ticket method based on voting behavior monitoring provided in an embodiment of the present invention;
Fig. 2 is a kind of structural schematic diagram of anti-brush ticket device based on voting behavior monitoring provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
Anti- brush ticket method provided in an embodiment of the present invention based on voting behavior monitoring can be applied to Driving Test terminal applies
In hold such as trump train championship ballot activity application scenarios.
In embodiments of the present invention, the anti-brush ticket device based on voting behavior monitoring can be smart phone, tablet computer
Equal terminal devices.
Below in conjunction with attached drawing 1, the anti-brush ticket method provided in an embodiment of the present invention based on voting behavior monitoring is carried out
It is discussed in detail.
Referring to Figure 1, for the embodiment of the invention provides a kind of processes of anti-brush ticket method based on voting behavior monitoring
Schematic diagram.As shown in Figure 1, the embodiment of the present invention the method may include following steps S101- step S103.
S101 obtains voting behavior data of the user on the ballot page using preset data statistical.
Specifically, above-mentioned apparatus can obtain voting behavior of the user on the ballot page using preset data statistical
Data, it is to be understood that above-mentioned voting behavior data may include ballot the page in residence time, page scroll and
The click etc. of certain buttons.It should be noted that above-mentioned apparatus can count above-mentioned behavioral data by specific statistical,
And Data Analysis Services end (data processing module or data processing server that can be local terminal) is reported to, optionally,
Before reported data, above-mentioned apparatus can be encrypted acquired voting behavior data, avoid normal voting behavior
Process is cracked.
S102 judges to execute whether the object of action of voting behavior is really to use according to the data characteristic of voting behavior data
Family.
It is understood that real user when being voted due to being manual operation, in the ballot page in voting process
In residence time it is longer, check ballot activity etc. there are the rolling of the page and by clicking certain buttons, and use ballot
The ballot that plug-in unit carries out, the residence time in the ballot page is almost invisible, may be there is no the rolling of the page and certain
Ballot is realized in the click of button, directly the ballot button in the triggering ballot page.Ballot software and real user are being voted
When, operation data difference is huge, it is easy to differentiate, above-mentioned apparatus can be easily according to special according to the data of voting behavior data
Property judge execute voting behavior object of action whether be real user.
S103 exports malice brush ticket prompt information when judging above-mentioned object of action for non-real real user.
It is understood that when the voting behavior data of above-mentioned data characteristic instruction are that plug-in unit executes data, above-mentioned dress
It sets and can be confirmed that the object of action for executing voting behavior is non-real real user, and then malice brush ticket prompt information can be exported.
Optionally, when above-mentioned data characteristic instruction voting behavior data are that user executes data, it can be confirmed and execute throwing
The object of action of ticket behavior is real user.It may also be repeatedly voted by throwing object same for real user, to keep away
Exempt from the brush ticket behavior of real user, above-mentioned apparatus may determine that whether the corresponding ballot frequency of voting behavior meets default ballot frequency
Rate, for example, the voting rule of ballot activity setting is can at most to throw 3 times for one day, as long as the voting behavior of real user meets
It is not more than 3 ballot frequencies in one day, that is, is regarded as normally voting, the ballot greater than 3 times is the behavior of brush ticket, above-mentioned apparatus
Malice brush ticket prompt information can be exported.Prompt backstage operation maintenance personnel pays attention to the user there are malice brush ticket behavior, or can be with
The prompt information for exporting ineligibility, prompts the user to be prohibited to vote.
In embodiments of the present invention, by monitoring user in the voting behavior data of the ballot page, identification user is true
User still votes software, prevents ballot software from, by throwing object malice brush ticket, ensure that the fairness of ballot activity to same, mentioning
The high ballot participation rate of user.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer installation, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
Below in conjunction with attached drawing 2, the anti-brush ticket device provided in an embodiment of the present invention based on voting behavior monitoring is carried out
It is discussed in detail.It should be noted that the attached anti-brush ticket device shown in Fig. 2 based on voting behavior monitoring, for executing the present invention
The method of embodiment illustrated in fig. 1, for ease of description, only parts related to embodiments of the present invention are shown, and particular technique is thin
What section did not disclosed, please refer to present invention embodiment shown in FIG. 1.
Fig. 2 is referred to, for the embodiment of the invention provides a kind of structures of anti-brush ticket device based on voting behavior monitoring
Schematic diagram.As shown in Fig. 2, the anti-brush ticket device 10 of the embodiment of the present invention may include: that behavioral data obtains module 101, user
Property determination module 102, prompt information output module 103, data encryption module 104 and ballot frequency judgment module 105.
Behavioral data obtains module 101, for obtaining throwing of the user on the ballot page using preset data statistical
Ticket behavioral data.
In the specific implementation, behavioral data obtains module 101 can voted using preset data statistical acquisition user
Voting behavior data on the page, it is to be understood that above-mentioned voting behavior data may include the stop in the ballot page
Time, page scroll and click of certain buttons etc..It should be noted that above-mentioned apparatus 10 can pass through the specifically side of statistics
Formula counts above-mentioned behavioral data, and reports to Data Analysis Services end and (can be at the data processing module or data of local terminal
Manage server), optionally, before reported data, data encryption module 104 can add acquired voting behavior data
Close processing avoids normal voting behavior process from being cracked.
User's property determination module 102 executes voting behavior for judging according to the data characteristic of voting behavior data
Whether object of action is real user.
It is understood that real user when being voted due to being manual operation, in the ballot page in voting process
In residence time it is longer, check ballot activity etc. there are the rolling of the page and by clicking certain buttons, and use ballot
The ballot that plug-in unit carries out, the residence time in the ballot page is almost invisible, may be there is no the rolling of the page and certain
Ballot is realized in the click of button, directly the ballot button in the triggering ballot page.Ballot software and real user are being voted
When, operation data difference is huge, it is easy to differentiate, user's property determination module 102 can be easily according to according to voting behavior
The data characteristic of data judges to execute whether the object of action of voting behavior is real user.
Prompt information output module 103, for exporting malice brush ticket when judging above-mentioned object of action for non-real real user
Prompt information.
It is understood that when the voting behavior data of above-mentioned data characteristic instruction are that plug-in unit executes data, above-mentioned dress
It sets and can be confirmed that the object of action for executing voting behavior is non-real real user, and then malice brush ticket prompt information can be exported.
Optionally, when above-mentioned data characteristic instruction voting behavior data are that user executes data, user's property determination mould
Block 102 can be confirmed that the object of action for executing voting behavior is real user.It may also be to same by throwing pair for real user
As repeatedly being voted, for the brush ticket behavior for avoiding real user, frequency judgment module 105 of voting may determine that voting behavior pair
Whether the ballot frequency answered meets default ballot frequency, for example, the voting rule of ballot activity setting is can at most to throw 3 in one day
It is secondary, as long as the voting behavior of real user meets not more than 3 times in one day ballot frequencies, that is, it is regarded as normally voting, greatly
It is the behavior of brush ticket in 3 ballots, prompt information output module 103 can export malice brush ticket prompt information.It transports on prompt backstage
Dimension personnel pay attention to the user, and there are malice brush ticket behaviors, or can export the prompt information of ineligibility, have prompted the user
It is prohibited to vote.
In embodiments of the present invention, by monitoring user in the voting behavior data of the ballot page, identification user is true
User still votes software, prevents ballot software from, by throwing object malice brush ticket, ensure that the fairness of ballot activity to same, mentioning
The high ballot participation rate of user.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of anti-brush ticket method based on voting behavior monitoring characterized by comprising
Voting behavior data of the user on the ballot page are obtained using preset data statistical;
Judged to execute whether the object of action of voting behavior is real user according to the data characteristic of the voting behavior data;
When judging the object of action for non-real real user, malice brush ticket prompt information is exported.
2. the method according to claim 1, wherein the method also includes:
Data encryption is carried out to acquired voting behavior data.
3. according to the method described in claim 1, it is characterized by:
The voting behavior data include the point of residence time in the ballot page, page scroll and certain buttons
It hits.
4. the method according to claim 1, wherein the method also includes:
When the data characteristic indicates that the voting behavior data are that plug-in unit executes data, confirmation executes the behavior of voting behavior
Object is non-real real user.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
When the data characteristic indicates that the voting behavior data are that user executes data, confirmation executes the behavior of voting behavior
Object is real user;
Judge whether the corresponding ballot frequency of the voting behavior meets default ballot frequency;
When the result judged is no, malice brush ticket prompt information is exported.
6. a kind of anti-brush ticket device based on voting behavior monitoring characterized by comprising
Behavioral data obtains module, for obtaining voting behavior number of the user on the ballot page using preset data statistical
According to;
User's property determination module, for judging the behavior of execution voting behavior according to the data characteristic of the voting behavior data
Whether object is real user;
Prompt information output module, for when judging the object of action for non-real real user, output malice brush tickets-raise up to show letter
Breath.
7. device according to claim 6, which is characterized in that described device further include:
Data encryption module, for carrying out data encryption to acquired voting behavior data.
8. device according to claim 6, it is characterised in that:
The voting behavior data include the point of residence time in the ballot page, page scroll and certain buttons
It hits.
9. device according to claim 6, it is characterised in that:
User's property determination module is specifically used for indicating the voting behavior data for plug-in unit execution when the data characteristic
When data, the object of action that confirmation executes voting behavior is non-real real user.
10. device according to claim 9, which is characterized in that described device further include:
User's property determination module is specifically used for indicating the voting behavior data for user's execution when the data characteristic
When data, the object of action that confirmation executes voting behavior is real user;
Ballot frequency judgment module, for judging whether the corresponding ballot frequency of the voting behavior meets default ballot frequency;
The prompt information output module is also used to when the result judged is no, exports malice brush ticket prompt information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910495791.2A CN110335401A (en) | 2019-06-05 | 2019-06-05 | Anti- brush ticket method and device based on voting behavior monitoring |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910495791.2A CN110335401A (en) | 2019-06-05 | 2019-06-05 | Anti- brush ticket method and device based on voting behavior monitoring |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110335401A true CN110335401A (en) | 2019-10-15 |
Family
ID=68140870
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910495791.2A Pending CN110335401A (en) | 2019-06-05 | 2019-06-05 | Anti- brush ticket method and device based on voting behavior monitoring |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110335401A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113096298A (en) * | 2021-03-31 | 2021-07-09 | 中国建设银行股份有限公司 | Network voting method and device |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060196939A1 (en) * | 2005-03-02 | 2006-09-07 | Yong-Hi Kim | System for electronically voting, counting, and examining ballots |
CN103678346A (en) * | 2012-09-07 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Man-machine recognition method and system |
CN104125313A (en) * | 2014-07-11 | 2014-10-29 | 广州华多网络科技有限公司 | Network voting method and device |
CN105989268A (en) * | 2015-03-02 | 2016-10-05 | 苏宁云商集团股份有限公司 | Safety access method and system for human-computer identification |
CN107295022A (en) * | 2017-08-23 | 2017-10-24 | 四川长虹电器股份有限公司 | A kind of client certificate method based on man-machine identification |
CN108229130A (en) * | 2018-01-30 | 2018-06-29 | 中国银联股份有限公司 | A kind of verification method and device |
-
2019
- 2019-06-05 CN CN201910495791.2A patent/CN110335401A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060196939A1 (en) * | 2005-03-02 | 2006-09-07 | Yong-Hi Kim | System for electronically voting, counting, and examining ballots |
CN103678346A (en) * | 2012-09-07 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Man-machine recognition method and system |
CN104125313A (en) * | 2014-07-11 | 2014-10-29 | 广州华多网络科技有限公司 | Network voting method and device |
CN105989268A (en) * | 2015-03-02 | 2016-10-05 | 苏宁云商集团股份有限公司 | Safety access method and system for human-computer identification |
CN107295022A (en) * | 2017-08-23 | 2017-10-24 | 四川长虹电器股份有限公司 | A kind of client certificate method based on man-machine identification |
CN108229130A (en) * | 2018-01-30 | 2018-06-29 | 中国银联股份有限公司 | A kind of verification method and device |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113096298A (en) * | 2021-03-31 | 2021-07-09 | 中国建设银行股份有限公司 | Network voting method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107679374B (en) | A kind of man-machine recognition methods and device based on sliding trace, electronic equipment | |
CN108009844B (en) | Method and device for determining advertisement cheating behaviors and cloud server | |
CN110309473A (en) | Merge the anti-brush ticket method and device of identity and voting behavior monitoring | |
CN110300171B (en) | Information acquisition method, system, computer readable storage medium and electronic device | |
CN109241711A (en) | User behavior recognition method and device based on prediction model | |
CN108133306B (en) | Performance assessment method, server and performance assessment system | |
CN105592008A (en) | Method and device for processing user network behavior | |
CN103905423A (en) | Harmful advertisement piece detecting method and system based on dynamic behavior analysis | |
CN112733045B (en) | User behavior analysis method and device and electronic equipment | |
CN108280346A (en) | A kind of application protecting, monitoring method, apparatus and system | |
CN108366176A (en) | A kind of charging method of terminal applies, apparatus and system | |
CN110335401A (en) | Anti- brush ticket method and device based on voting behavior monitoring | |
CN112948224A (en) | Data processing method, device, terminal and storage medium | |
CN110798835A (en) | Public wifi access method, mobile terminal and readable storage medium | |
CN110415025A (en) | A kind of verification method and device | |
CN102917334B (en) | A kind of violation terminal built-in behavior processing method, apparatus and system | |
CN109714448A (en) | The internet information statistical method and device of PON terminal | |
CN109815121B (en) | Interface automation test case generation method and related equipment | |
CN110458707B (en) | Behavior evaluation method and device based on classification model and terminal equipment | |
CN109559013A (en) | Method for testing risk and device, electronic equipment and readable storage medium storing program for executing based on trivial games | |
CN107086978B (en) | Method and device for identifying Trojan horse virus | |
CN110335400A (en) | The anti-brush ticket method and device of identity-based mark | |
Carriquiry | Election forensics and the 2004 Venezuelan Presidential Recall Referendum as a case study | |
CN101820367A (en) | Spam over internet telephony monitoring method, device and system | |
CN106993290B (en) | Communication record detection method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191015 |