CN109589607A - A kind of game anti-cheating method and game anti-cheating system based on block chain - Google Patents
A kind of game anti-cheating method and game anti-cheating system based on block chain Download PDFInfo
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- CN109589607A CN109589607A CN201811481176.8A CN201811481176A CN109589607A CN 109589607 A CN109589607 A CN 109589607A CN 201811481176 A CN201811481176 A CN 201811481176A CN 109589607 A CN109589607 A CN 109589607A
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Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/75—Enforcing rules, e.g. detecting foul play or generating lists of cheating players
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
- A63F2300/55—Details of game data or player data management
- A63F2300/5546—Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history
Abstract
The present invention relates to a kind of game anti-cheating method and game anti-cheating system based on block chain, this method comprises: obtaining the user's history behavioral data of game application gathered in advance；Obtain user's current behavior data of the game application acquired in real time；According to the cheating decision rule of user's history behavioral data, user's current behavior data and game application, user's current behavior cheating situation is determined；Cheating is determined result, user's current behavior data and user's history behavioral data as user credit data to be stored on block chain.The present invention is using block chain as trust center, storage is practised fraud comprising user determines the user credit data of result, it can be actively to there is the user of cheating to make restriction using user credit data, game cheat behavior is fundamentally defendd, defensive range is wide, and effect is good, and it will not influence client experience, another user credit data are stored on block chain, and safety is not tampered, and ensure that the authenticity and validity of data.
Description
Technical field
The present invention relates to block chain technical fields more particularly to a kind of based on the game anti-cheating method of block chain and game
Anti-cheating system.
Background technique
Game is plug-in refer to by coding in modification Games Software or data creating at cheating program.User uses trip
The plug-in normal users that can obtain of playing can not obtain or must be by longtime running games just obtainable game effect.
Plug-in game includes benign plug-in and plug-in two kinds pernicious.The benign plug-in influence to game in game developer and
In the control range of operator, be official allow using；The pernicious plug-in influence to game has exceeded game control range, is
Using the data loophole in game, modify with modes such as modification game numerical value to game, to reach cheating purpose.Institute
With it is pernicious it is plug-in be that game official strongly resists, using this plug-in user can be done title etc. handle.Main needle herein
Prevention method is proposed to pernicious plug-in this game cheat behavior, it is for simplicity, hereinafter referred to as plug-in.
Currently, external network game software is there are ways to realize game cheat, such as complete simulant-client and game
Server communication injects in dll (dynamic link library, dynamic link library file) file modification in game client
It deposits or simulates and send critical packet, forward data, accelerator class plug-in using agent software intercepting and capturing and modification etc..
The anti-plug-in technology having been carried out at present, needs to track newest plug-in technology, makes a response in time, belong to one kind
Passive type defence, is similar to antivirus software, and the cheating in face of emerging one after another is often impossible to guard against.But it is this kind of anti-plug-in
Technology specific aim is stronger, once being implemented, effect is prevented well that can play using initial stage, with mentioning for plug-in technology
It rises, effect can slowly weaken.
In addition, if anti-plug-in technical functionality is complex, for example the various resources of game client and behavior are carried out
It comprehensively and effectively monitors, it is possible to which the usage experience for influencing game client needs to be balanced between safety and performance.
Block chain is a kind of distributed account book technology of decentralization, based on common recognition and can trust the large-scale association of realization
Make.Block chain is guaranteed data security and cannot be tampered easily using technologies such as asymmetric cryptosystem and digital signature.
Therefore it provides a kind of game anti-cheating method and game anti-cheating system based on block chain.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
The game anti-cheating method and game anti-cheating system based on block chain for stating problem, realize plug-in cheating identification and user credit
This active anti-cheating method is recorded, solves current passive type defense mechanism, defensive range is limited, and protection effect is poor, and has
The problem of may influencing client experience.
According to an aspect of the present invention, a kind of game anti-cheating method based on block chain is provided, comprising the following steps:
Obtain the user's history behavioral data of game application gathered in advance；
Obtain user's current behavior data of the game application acquired in real time；
Determined according to the cheating of the user's history behavioral data, user's current behavior data and the game application
Rule determines user's current behavior cheating situation；
Determine result, user's current behavior data and the user's history behavioral data as user credit cheating
Data are stored on block chain.
Further, the cheating decision rule of the game application is stored on block chain.
Further, the user's history behavioral data includes that user grasps the history of the predetermined control of the game application
Working frequency, user's current behavior data include current operating frequency of the user to the predetermined control of the game application, institute
The cheating decision rule for stating game application includes to the operating frequency of the predetermined control of the game application beyond normal operating model
It encloses；
It is described according to the user's history behavioral data, the cheating of user's current behavior data and the game application
Decision rule, determine user's current behavior cheating situation the step of include:
According to user to the historical operation frequency of the predetermined control of the game application, determine to the pre- of the game application
Determine the normal operation range of control；
According to the normal operation range, the current operating frequency and the cheating decision rule, determine that user is current
Behavior is with the presence or absence of cheating；
If the current operating frequency exceeds the normal operation range, it is determined that user's current behavior has cheating, no
Then, determining user's current behavior, there is no cheatings.
Further, described according to the user's history behavioral data, user's current behavior data and the game
The step of cheating decision rule of application, judgement user's current behavior cheating situation further include:
When user's current behavior, which exists, practises fraud, according to user to the current operation frequency of the predetermined control of the game application
Rate exceeds the degree of the normal operation range, determines the cheating degree of user's current behavior；Wherein, the current operating frequency
Degree beyond the normal operation range is higher, and the cheating degree of user's current behavior is higher.
According to another aspect of the present invention, a kind of game anti-cheating system based on block chain is provided, comprising:
First obtains module, for obtaining the user's history behavioral data of game application gathered in advance；
Second obtains module, for obtaining user's current behavior data of the game application acquired in real time；
Determination module, for according to the user's history behavioral data, user's current behavior data and the game
The cheating decision rule of application determines user's current behavior cheating situation；
First memory module determines result, user's current behavior data and the user's history row for that will practise fraud
It is stored on block chain for data as user credit data.
According to another aspect of the invention, a kind of game anti-cheating method based on block chain is provided, comprising the following steps:
The user's history behavioral data and user's current behavior data of game application are acquired, and collected data are uploaded
To credit server；
The user credit data in the block chain of the credit server are obtained, wherein the user credit data are described
The game application that credit server is acquired according to the user's history behavioral data of game application gathered in advance and in real time
Cheating is determined result, user's current behavior after determining user's current behavior cheating situation by user's current behavior data
Data and the user's history behavioral data are stored in the data on block chain as user credit data；
According to the user credit data, generates user behavior and limit data.
Further, the step of user's history behavioral data of the acquisition game application includes:
The user's history behavioral data of game application is acquired by way of randomly selecting.
Further, described the step of collected data are uploaded to credit server, includes:
Collected data are uploaded to credit server by encrypted tunnel.
Further, the above-mentioned game anti-cheating method based on block chain generates user according to the user credit data
Behavior limits after data, further includes:
User behavior limitation data are stored on block chain.
Also one side according to the present invention, provides a kind of game anti-cheating system based on block chain, comprising:
Acquisition module for acquiring the user's history behavioral data and user's current behavior data of game application, and will be adopted
The data collected are uploaded to credit server；
Obtain module, the user credit data in block chain for obtaining the credit server, wherein the user
Credit data is the credit server according to the user's history behavioral data of game application gathered in advance and acquires in real time
Cheating is determined result, institute after determining user's current behavior cheating situation by user's current behavior data of the game application
It states user's current behavior data and the user's history behavioral data is stored in data on block chain as user credit data；
Generation module, for generating user behavior and limiting data according to the user credit data.
The present invention has the advantage that compared with prior art
1. the game anti-cheating method and game anti-cheating system of the invention based on block chain is using block chain as letter
With center, user's cheating is identified, and store to practise fraud comprising user and determine the user credit data of result, utilize user credit
Data actively can make restriction to the user for having cheating, fundamentally defend game cheat behavior, and defend model
It encloses not by plug-in technical restriction, defensive range is wide, and effect is good, and will not influence client body for the user of no cheating
It tests, another user credit data are stored on block chain, and safety is not tampered, and ensure that the authenticity and validity of data.
2. the game anti-cheating method and game anti-cheating system of the invention based on block chain only needs to establish user's work
Disadvantage determines database, that is, applicable various gaming platforms.
Detailed description of the invention
Below in conjunction with drawings and examples, the invention will be further described.
Fig. 1 is the game anti-cheating method flow chart based on block chain of first embodiment of the invention；
Fig. 2 is the structural schematic diagram of the game anti-cheating system based on block chain of first embodiment of the invention；
Fig. 3 is the game anti-cheating method flow chart based on block chain of second embodiment of the invention；
Fig. 4 is the structural schematic diagram of the game anti-cheating system based on block chain of second embodiment of the invention；
Fig. 5 is the structural schematic diagram of the game anti-cheating system based on block chain of third embodiment of the invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless otherwise will not be explained in an idealized or overly formal meaning by specific definitions.
Fig. 1 is the game anti-cheating method block diagram based on block chain of first embodiment of the invention, as shown in Figure 1, this
The game anti-cheating method based on block chain that inventive embodiments provide, comprising the following steps:
Step 101: obtaining the user's history behavioral data of game application gathered in advance.
Here, credit server, can be to user's normal behaviour and use by user's history behavioral data gathered in advance
Family cheating is parsed, to judge user's cheating situation according to user's history behavioral data.
Wherein, the user's history behavioral data of game application can be acquired according to predetermined collection rule by client.Such as may be used
The user's history behavioral data randomly selected mode and acquire game application specified by client according to gaming platform, it is therefore an objective to
It is not simulated and is interfered by third party software, guarantee the authenticity of user behavior data.
In the embodiment of the present invention, each game client is user behavior data acquisition node, and client is adopted when running
Collection operation automatic running.Data acquisition function built in client acquires user behavior data according to predetermined collection rule, and can
Credit server is uploaded to by designated lane；Whether these data are saved by credit server, practise fraud and make as to user
The initial data that disadvantage degree is determined.
Preferably, collection rule is located on block chain as intelligent contract, and safety is not tampered, and can be read by client
It uses.
Step 102: obtaining user's current behavior data of the game application acquired in real time.
Here, credit server passes through user's current behavior data of the game application acquired in real time, in conjunction with user's history
Behavioral data, can accurate judgement user currently practise fraud situation.
Wherein, user's current behavior data of game application can be acquired in real time according to predetermined collection rule by client.
Such as the user's current behavior data randomly selected mode and acquire game application that can also be specified by client according to gaming platform.
Step 103: according to the user's history behavioral data, user's current behavior data and the game application
Cheating decision rule determines user's current behavior cheating situation.
Here, credit server is according to user's history behavioral data, the cheating of user's current behavior data and game application
Decision rule can accurately determine user's current behavior cheating situation.Server can be real by user's history behavioral data and user
When current behavior data compare, according to cheating decision rule determine user's current behavior practise fraud situation.
Wherein, its corresponding cheating, which determines rule, to be determined according to different game service logics for different game applications
Then.
Step 104: will cheating determine result, user's current behavior data and the user's history behavioral data as
User credit data are stored on block chain.
Here, cheating is determined result and determines that the both data used is stored in block chain as transaction by credit server,
As user credit data.Block comprising credit data can be synchronized to each game client end node, and keep in all nodes
Unanimously.User credit data represent user and practise fraud situation, and client is hereby it is possible to taking different limitations to grasp user account
Make, to fundamentally defend game cheat behavior, and user credit data are stored on block chain, ensure that the true of data
Property and validity.
Wherein, herein, the node of block chain is made of multiple game clients and credit server.Herein, base
It is executed in the game anti-cheating method of block chain by credit server.
The game anti-cheating method based on block chain of the embodiment of the present invention, using block chain as trust center, identification
User's cheating, and store to practise fraud comprising user and determine the user credit data of result, it can be led using user credit data
It is dynamic that restriction is made to the user for having cheating, game cheat behavior is fundamentally defendd, and defensive range is not by plug-in
Technical restriction, defensive range is wide, and effect is good, and will not influence client experience, another user's letter for the user of no cheating
It is stored on block chain with data, safety is not tampered, and ensure that the authenticity and validity of data.
Preferably, the cheating decision rule of the game application is stored on block chain, so that the work of the game application
Disadvantage decision rule is safe and can not distort, it is ensured that the authenticity and validity of the cheating decision rule of the game application.Into one
Step, the cheating decision rule of game application can be used as intelligent contract and be stored on the block chain of credit server, avoid being disliked
Meaning is distorted.
Preferably, the user's history behavioral data includes historical operation of the user to the predetermined control of the game application
Frequency, user's current behavior data include current operating frequency of the user to the predetermined control of the game application, described
The cheating decision rule of game application includes to the operating frequency of the predetermined control of the game application beyond normal operation range；
The step of above-mentioned steps 103 includes:
Step 1031: according to user to the historical operation frequency of the predetermined control of the game application, determining to the trip
The normal operation range of the predetermined control of play application.
Here, a large number of users historical behavior data are obtained in advance, including user to the predetermined control of game application
Historical operation frequency can accurately be parsed to trip according to user to the historical operation frequency of the predetermined control of game application
The normal operation range of the predetermined space of play application.
Step 1032: according to the normal operation range, the current operating frequency and the cheating decision rule, determining
User's current behavior is with the presence or absence of cheating.
Step 1033: if the current operating frequency exceeds the normal operation range, it is determined that user's current behavior is deposited
It is practising fraud, otherwise, it determines there is no cheatings for user's current behavior.
Here, if user exceeds normal operation range, user to the current operating frequency of the predetermined control of game application
Plug-in equal fraudulent means may be used, can determine that user's current behavior has cheating, otherwise, can determine user's current behavior
There is no cheatings.
At this point, the judgment criteria that the operating frequency of the predetermined control of game application is practised fraud as user, in conjunction with user's history
Behavioral data and user's current behavior data can accurately determine user's current behavior with the presence or absence of cheating.
However, the cheating decision rule of the game application is not limited to the frequency of the operation to the predetermined control of the game application
Rate exceeds normal operation range, as long as historical data and current data progress effectively judgement can be collected.
Preferably, the step of above-mentioned steps 103 further include:
Step 1034: when user's current behavior, which exists, practises fraud, according to user to the predetermined control of the game application
Current operating frequency exceeds the degree of the normal operation range, determines the cheating degree of user's current behavior；Wherein, described to work as
Degree of the preceding operating frequency beyond the normal operation range is higher, and the cheating degree of user's current behavior is higher.
At this point, the subdivision to user's current behavior cheating situation further progress cheating degree, it is current can to specify user
Behavior cheating degree, and different degrees of measure to stop is taken according to user's current behavior cheating degree, preferably to prevent to use
The cheating at family.
Preferably, the above-mentioned game anti-cheating method based on block chain, further includes: generated according to cheating deciding degree result
Different user behaviors limits data.
At this point, different degrees of measure to stop is taken for the different cheating degree of user, preferably to prevent user's
Cheating.
The game anti-cheating method based on block chain of the embodiment of the present invention, is utilized block chain as the excellent of trust center
Gesture, credit data and various rules can all be stored in block chain, and safety is not tampered.
The game anti-cheating method based on block chain of the embodiment of the present invention provides global solution for the anti-plug-in cheating of game
Certainly scheme, original anti-plug-in technology can continue to apply in system, the supplement as system.
The game anti-cheating method based on block chain of the embodiment of the present invention, is applicable in various gaming platforms, it is only necessary to define
It practises fraud well judgment rule, can play a role；And the mode of random acquisition user behavior data can be used, it will not be to game client
Performance is caused to influence in end.
Fig. 2 is the structural schematic diagram of the game anti-cheating system based on block chain of first embodiment of the invention, referring to fig. 2
It is shown, the game anti-cheating system provided by the invention based on block chain, comprising:
First obtains module 201, for obtaining the user's history behavioral data of game application gathered in advance；
Second obtains module 202, for obtaining user's current behavior data of the game application acquired in real time；
Determination module 203, for according to the user's history behavioral data, user's current behavior data and the trip
The cheating decision rule of play application determines user's current behavior cheating situation；
First memory module 204 determines result, user's current behavior data and the user's history for that will practise fraud
Behavioral data is stored on block chain as user credit data.
Here the game anti-cheating system based on block chain can be credit server.
The game anti-cheating system based on block chain of the embodiment of the present invention, using block chain as trust center, identification
User's cheating, and store to practise fraud comprising user and determine the user credit data of result, it can be led using user credit data
It is dynamic that restriction is made to the user for having cheating, game cheat behavior is fundamentally defendd, and defensive range is not by plug-in
Technical restriction, defensive range is wide, and effect is good, and will not influence client experience, another user's letter for the user of no cheating
It is stored on block chain with data, safety is not tampered, and ensure that the authenticity and validity of data.
Preferably, the cheating decision rule of the game application is stored on block chain, so that the work of the game application
Disadvantage decision rule is safe and can not distort, it is ensured that the authenticity and validity of the cheating decision rule of the game application.Into one
Step, the cheating decision rule of game application can be used as intelligent contract and be stored on the block chain of credit server, avoid being disliked
Meaning is distorted.
Preferably, the user's history behavioral data includes historical operation of the user to the predetermined control of the game application
Frequency, user's current behavior data include current operating frequency of the user to the predetermined control of the game application, described
The cheating decision rule of game application includes to the operating frequency of the predetermined control of the game application beyond normal operation range；
Determination module 203 includes:
First determination unit is determined for the historical operation frequency according to user to the predetermined control of the game application
To the normal operation range of the predetermined control of the game application.
Here, a large number of users historical behavior data are obtained in advance, including user to the predetermined control of game application
Historical operation frequency can accurately be parsed to trip according to user to the historical operation frequency of the predetermined control of game application
The normal operation range of the predetermined space of play application.
First judging unit, for being determined according to the normal operation range, the current operating frequency and the cheating
Rule determines user's current behavior with the presence or absence of cheating.
Second determination unit, if exceeding the normal operation range for the current operating frequency, it is determined that user works as
It moves ahead to there is cheating, otherwise, it determines there is no cheatings for user's current behavior.
Here, if user exceeds normal operation range, user to the current operating frequency of the predetermined control of game application
Plug-in equal fraudulent means may be used, can determine that user's current behavior has cheating, otherwise, can determine user's current behavior
There is no cheatings.
At this point, the judgment criteria that the operating frequency of the predetermined control of game application is practised fraud as user, in conjunction with user's history
Behavioral data and user's current behavior data can accurately determine user's current behavior with the presence or absence of cheating.
However, the cheating decision rule of the game application is not limited to the frequency of the operation to the predetermined control of the game application
Rate exceeds normal operation range, as long as historical data and current data progress effectively judgement can be collected.
Preferably, determination module 203 further include:
Second judging unit is used for when user's current behavior exists and practises fraud, according to user to the pre- of the game application
The current operating frequency for determining control exceeds the degree of the normal operation range, determines the cheating degree of user's current behavior；Its
In, degree of the current operating frequency beyond the normal operation range is higher, and the cheating degree of user's current behavior is higher.
At this point, the subdivision to user's current behavior cheating situation further progress cheating degree, it is current can to specify user
Behavior cheating degree, and different degrees of measure to stop is taken according to user's current behavior cheating degree, preferably to prevent to use
The cheating at family.
Preferably, the above-mentioned game anti-cheating system based on block chain, further includes: user behavior limits data and generates mould
Block limits data for generating different user behaviors according to cheating deciding degree result.
At this point, different degrees of measure to stop is taken for the different cheating degree of user, preferably to prevent user's
Cheating.
One embodiment of the invention additionally provides a kind of intelligent contract execution system, including processor, memory are stored in
On reservoir and the computer program that can run on the processor, following step is realized when which is executed by processor
It is rapid:
Obtain the user's history behavioral data of game application gathered in advance；
Obtain user's current behavior data of the game application acquired in real time；
Determined according to the cheating of the user's history behavioral data, user's current behavior data and the game application
Rule determines user's current behavior cheating situation；
Determine result, user's current behavior data and the user's history behavioral data as user credit cheating
Data are stored on block chain.
Optionally, the cheating decision rule of the game application is stored on block chain.
Optionally, the user's history behavioral data includes historical operation of the user to the predetermined control of the game application
Frequency, user's current behavior data include current operating frequency of the user to the predetermined control of the game application, described
The cheating decision rule of game application includes to the operating frequency of the predetermined control of the game application beyond normal operation range；
The computer program also realizes following steps when being executed by processor:
According to user to the historical operation frequency of the predetermined control of the game application, determine to the pre- of the game application
Determine the normal operation range of control；
According to the normal operation range, the current operating frequency and the cheating decision rule, determine that user is current
Behavior is with the presence or absence of cheating；
If the current operating frequency exceeds the normal operation range, it is determined that user's current behavior has cheating, no
Then, determining user's current behavior, there is no cheatings.
Optionally, following steps are also realized when which is executed by processor:
When user's current behavior, which exists, practises fraud, according to user to the current operation frequency of the predetermined control of the game application
Rate exceeds the degree of the normal operation range, determines the cheating degree of user's current behavior；Wherein, the current operating frequency
Degree beyond the normal operation range is higher, and the cheating degree of user's current behavior is higher.
One embodiment of the invention provides a kind of computer readable storage medium, is stored thereon with computer program, above-mentioned
It realizes that above-mentioned intelligent contract executes each process of embodiment of the method when computer program is executed by processor, and can reach identical
Technical effect, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, such as read-only memory
(Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation RAM), magnetic disk
Or CD etc..
Fig. 3 is the game anti-cheating method block diagram based on block chain of second embodiment of the invention, shown in Figure 3,
Game anti-cheating method provided by the invention based on block chain, comprising the following steps:
Step 301, the user's history behavioral data and user's current behavior data of game application are acquired, and will be collected
Data are uploaded to credit server；
Step 302, the user credit data in the block chain of the credit server are obtained, wherein the user credit number
According to the trip for being the credit server according to the user's history behavioral data of game application gathered in advance and acquiring in real time
Cheating is determined result, the user after determining user's current behavior cheating situation by the user's current behavior data applied of playing
Current behavior data and the user's history behavioral data are stored in the data on block chain as user credit data；
Step 303, it according to the user credit data, generates user behavior and limits data.
Here the game anti-cheating method based on block chain is executed by game client.
The game anti-cheating method based on block chain of the embodiment of the present invention, game client acquire user behavior data,
The data that credit server is acquired using game client to user practise fraud situation judge, and using block chain as credit in
The heart, storage is practised fraud comprising user determines the user credit data of result, and game client can be generated using user credit data
User behavior limits data, to actively make restriction to the user for having cheating, fundamentally defends game cheat
Behavior, and defensive range, not by plug-in technical restriction, defensive range is wide, and effect is good, and will not for the user of no cheating
Influence client experience, another user credit data are stored on block chain, and safety is not tampered, ensure that data authenticity and
Validity.
Preferably, the step of user's history behavioral data of the acquisition game application includes:
The user's history behavioral data of game application is acquired by way of randomly selecting.Specifically, user behavior data
Collection rule randomly selects mode for what gaming platform was specified, so that the acquisition of user behavior data is not simulated by third party software
And interference, guarantee the authenticity of user behavior data.
The mode of game anti-cheating method random acquisition user's current behavior data based on block chain of the invention, will not
Performance is caused to influence game client.
Game anti-cheating method provided by the invention based on block chain acquires user's history behavior number in game client
According to before, further includes: be stored in collection rule as intelligent contract on block chain, safety is not tampered, can be by client
It reads and uses.
Preferably, described the step of collected data are uploaded to credit server, includes:
Collected data are uploaded to credit server by encrypted tunnel.
Specifically, user's history behavioral data is sent to credit server by encrypted tunnel by game client.It will use
Family historical behavior data are sent to credit server without using game data channel, and use dedicated encrypted tunnel.
Game anti-cheating method provided by the invention based on block chain, it is preferred that in game client by user's history
Behavioral data is sent to before credit server, further includes: is encrypted to user behavior data, including asymmetric cryptosystem sum number
Word signature avoids being intercepted and being cracked by third party software, and generating invalid data influences to determine result.
Preferably, the above-mentioned game anti-cheating method based on block chain generates user's row according to the user credit data
After limitation data, further includes:
User behavior limitation data are stored on block chain.
At this point, user behavior limitation data are stored on block chain, a part of user credit data also can be used as, it can
User behavior is restricted referring to this data.
Preferably, the above-mentioned game anti-cheating method based on block chain is determining that result generates user behavior according to cheating
Before limitation data, further includes: the mapping table that foundation is practised fraud and behavior limits is limited according to user's cheating result and user behavior,
So that mapping table and cheating that game client is limited according to the cheating and behavior determine that result generates user behavior and limits data.
The game anti-cheating method based on block chain of the embodiment of the present invention, credit server is using block chain as credit
Center, storage is practised fraud comprising user determines the user credit data of result, and game client can be given birth to using user credit data
Data are limited at user behavior, to actively make restriction to the user for having cheating, fundamentally game are defendd to make
Disadvantage behavior, and defensive range, not by plug-in technical restriction, defensive range is wide, and effect is good, and not for the user of no cheating
It will affect client experience, another user credit data are stored on block chain, and safety is not tampered, and ensure that the authenticity of data
And validity.
Fig. 4 is the game anti-cheating system block diagram based on block chain of second embodiment of the invention, shown in Figure 4, this
The game anti-cheating system based on block chain that inventive embodiments provide, comprising:
Acquisition module 401, for acquiring the user's history behavioral data and user's current behavior data of game application, and will
Collected data are uploaded to credit server；
Obtain module 402, the user credit data in block chain for obtaining the credit server, wherein the use
Family credit data is the credit server according to the user's history behavioral data of game application gathered in advance and acquisition in real time
The game application user's current behavior data, determine user's current behavior cheating situation after, will cheating determine result,
User's current behavior data and the user's history behavioral data are stored in the number on block chain as user credit data
According to；
Generation module 403, for generating user behavior and limiting data according to the user credit data.
Here the game anti-cheating system based on block chain can be game client.
The game anti-cheating method based on block chain of the embodiment of the present invention, game client acquire user behavior data,
The data that credit server is acquired using game client to user practise fraud situation judge, and using block chain as credit in
The heart, storage is practised fraud comprising user determines the user credit data of result, and game client can be generated using user credit data
User behavior limits data, to actively make restriction to the user for having cheating, fundamentally defends game cheat
Behavior, and defensive range, not by plug-in technical restriction, defensive range is wide, and effect is good, and will not for the user of no cheating
Influence client experience, another user credit data are stored on block chain, and safety is not tampered, ensure that data authenticity and
Validity.
Preferably, acquisition module 401 includes:
Acquisition unit, for acquiring the user's history behavioral data of game application by way of randomly selecting.Specifically,
User behavior data collection rule be gaming platform specify randomly select mode so that the acquisition of user behavior data is not by the
Software of the third party simulation and interference, guarantee the authenticity of user behavior data.
The mode of game anti-cheating method random acquisition user's current behavior data based on block chain of the invention, will not
Performance is caused to influence game client.
Game anti-cheating system provided by the invention based on block chain, further includes: collection rule memory module is used for
Before game client acquires user's history behavioral data, it is stored in collection rule as intelligent contract on block chain, safety
It is not tampered, can be read and be used by client.
Preferably, acquisition module 401 includes:
Uploading unit, for collected data to be uploaded to credit server by encrypted tunnel.
Specifically, user's history behavioral data is sent to credit server by encrypted tunnel by game client.It will use
Family historical behavior data are sent to credit server without using game data channel, and use dedicated encrypted tunnel.
Game anti-cheating method provided by the invention based on block chain, it is preferred that further include: user behavior data encryption
Module, for before user's history behavioral data is sent to credit server by game client, to user behavior data into
Row encryption, including asymmetric cryptosystem and digital signature avoid being intercepted and being cracked by third party software, generate invalid data influence and sentence
Determine result.
Preferably, the above-mentioned game anti-cheating system based on block chain, further includes: user behavior limits data and saves mould
Block, for being stored in user behavior limitation data after generating user behavior limitation data according to the user credit data
On block chain.
At this point, user behavior limitation data are stored on block chain, a part of user credit data also can be used as, it can
User behavior is restricted referring to this data.
Preferably, the above-mentioned game anti-cheating system based on block chain, further includes: the mapping table of cheating and behavior limitation is built
Formwork erection block is used for before determining that result generates user behavior limitation data according to cheating, according to user's cheating result and user
The mapping table of cheating and behavior limitation is established in behavior limitation, so that the mapping table that game client is limited according to the cheating and behavior
Determine that result generates user behavior and limits data with cheating.
Fig. 5 is the game anti-cheating system block diagram based on block chain of third embodiment of the invention, shown in Figure 5, this
The game anti-cheating system based on block chain that inventive embodiments provide, including above-mentioned game client and above-mentioned credit services
Device.
Specifically, each game client is user's current behavior data acquisition node, acquisition behaviour when client is run
Make automatic running.Data acquisition function built in client collects user's current behavior data according to specified rule, and by special
Credit server is uploaded to channel；These data are saved by server, as whether practise fraud to user determined it is original
Data.Server compares these data and user's current behavior data, sentences according to decision rule to user behavior
It is disconnected.Determine result and determines that the both data used as transaction deposit block chain, becomes user credit data.Include credit number
According to block be synchronized to each game client end node, and be consistent in all nodes.User credit data represent user's work
Disadvantage situation.Client takes different limitations to operate user account accordingly.
It is of the invention based on the game anti-cheating system of block chain using block chain as trust center, cheating determines knot
Fruit, user's current behavior data and the user's history behavioral data for judgement of practising fraud are maintained in block chain, and safety is not usurped
Change, in addition, it is only necessary to establish user's cheating and determine the i.e. applicable various gaming platforms of database, be become actively from passive type defence
Formula defence provides total solution for the anti-plug-in cheating of game, compatible original anti-plug-in technology can in system after
Continuous application, the supplement as system.
The present invention is using a kind of applied to the anti-outer of online game to realize the characteristics of block chain trusted and data safety
Hang cheating, the whole business that block chain collects behavioral data as trust center, determined and limited user, with intelligent contract
Mode stores and plays the mode that collection rule, assessment rules and limitation require, and user credit data are completely stored in block chain.
For embodiment of the method, for simple description, therefore, it is stated as a series of action combinations, but this field
Technical staff should be aware of, and embodiment of that present invention are not limited by the describe sequence of actions, because implementing according to the present invention
Example, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know that, specification
Described in embodiment belong to preferred embodiment, the actions involved are not necessarily necessary for embodiments of the present invention.
For system embodiments, since it is basically similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
One embodiment of the invention additionally provides a kind of intelligent contract execution system, including processor, memory are stored in
On reservoir and the computer program that can run on the processor, following step is realized when which is executed by processor
It is rapid:
The user's history behavioral data and user's current behavior data of game application are acquired, and collected data are uploaded
To credit server；
The user credit data in the block chain of the credit server are obtained, wherein the user credit data are described
The game application that credit server is acquired according to the user's history behavioral data of game application gathered in advance and in real time
Cheating is determined result, user's current behavior after determining user's current behavior cheating situation by user's current behavior data
Data and the user's history behavioral data are stored in the data on block chain as user credit data；
According to the user credit data, generates user behavior and limit data.
Optionally, following steps are also realized when which is executed by processor:
The user's history behavioral data of game application is acquired by way of randomly selecting.
Optionally, following steps are also realized when which is executed by processor:
Collected data are uploaded to credit server by encrypted tunnel.
Optionally, following steps are also realized when which is executed by processor:
User behavior limitation data are stored on block chain.
One embodiment of the invention provides a kind of computer readable storage medium, is stored thereon with computer program, above-mentioned
It realizes that above-mentioned intelligent contract executes each process of embodiment of the method when computer program is executed by processor, and can reach identical
Technical effect, to avoid repeating, which is not described herein again.Wherein, the computer readable storage medium, such as read-only memory
(Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation RAM), magnetic disk
Or CD etc..
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of game anti-cheating method based on block chain, which comprises the following steps:
Obtain the user's history behavioral data of game application gathered in advance；
Obtain user's current behavior data of the game application acquired in real time；
Determine to advise according to the cheating of the user's history behavioral data, user's current behavior data and the game application
Then, determine user's current behavior cheating situation；
Determine result, user's current behavior data and the user's history behavioral data as user credit data cheating
It is stored on block chain.
2. the game anti-cheating method according to claim 1 based on block chain, which is characterized in that the game application
Cheating decision rule is stored on block chain.
3. the game anti-cheating method according to claim 1 based on block chain, which is characterized in that the user's history row
It include historical operation frequency of the user to the predetermined control of the game application for data, user's current behavior data include
For user to the current operating frequency of the predetermined control of the game application, the cheating decision rule of the game application includes to institute
The operating frequency of the predetermined control of game application is stated beyond normal operation range；
It is described to be determined according to the cheating of the user's history behavioral data, user's current behavior data and the game application
Rule, determine user's current behavior cheating situation the step of include:
According to user to the historical operation frequency of the predetermined control of the game application, the predetermined control to the game application is determined
The normal operation range of part；
According to the normal operation range, the current operating frequency and the cheating decision rule, user's current behavior is determined
With the presence or absence of cheating；
If the current operating frequency exceeds the normal operation range, it is determined that user's current behavior has cheating, otherwise, really
Determining user's current behavior, there is no cheatings.
4. the game anti-cheating method according to claim 3 based on block chain, which is characterized in that described according to the use
The cheating decision rule of family historical behavior data, user's current behavior data and the game application determines that user is current
The step of behavior cheating situation further include:
It is super according to current operating frequency of the user to the predetermined control of the game application when user's current behavior, which exists, practises fraud
The degree of the normal operation range out determines the cheating degree of user's current behavior；Wherein, the current operating frequency exceeds
The degree of the normal operation range is higher, and the cheating degree of user's current behavior is higher.
5. a kind of game anti-cheating system based on block chain characterized by comprising
First obtains module, for obtaining the user's history behavioral data of game application gathered in advance；
Second obtains module, for obtaining user's current behavior data of the game application acquired in real time；
Determination module, for according to the user's history behavioral data, user's current behavior data and the game application
Cheating decision rule, determine user's current behavior practise fraud situation；
First memory module determines result, user's current behavior data and the user's history behavior number for that will practise fraud
It is stored on block chain according to as user credit data.
6. a kind of game anti-cheating method based on block chain, which comprises the following steps:
The user's history behavioral data and user's current behavior data of game application are acquired, and collected data are uploaded to letter
Use server；
The user credit data in the block chain of the credit server are obtained, wherein the user credit data are the credit
The user for the game application that server is acquired according to the user's history behavioral data of game application gathered in advance and in real time
Cheating is determined result, user's current behavior data after determining user's current behavior cheating situation by current behavior data
The data being stored in the user's history behavioral data as user credit data on block chain；
According to the user credit data, generates user behavior and limit data.
7. the game anti-cheating method according to claim 6 based on block chain, which is characterized in that the acquisition game is answered
The step of user's history behavioral data includes:
The user's history behavioral data of game application is acquired by way of randomly selecting.
8. the game anti-cheating method according to claim 6 based on block chain, which is characterized in that it is described will be collected
Data are uploaded to the step of credit server and include:
Collected data are uploaded to credit server by encrypted tunnel.
9. the game anti-cheating method according to claim 6 based on block chain, which is characterized in that believed according to the user
With data, generation user behavior is limited after data, further includes:
User behavior limitation data are stored on block chain.
10. a kind of game anti-cheating system based on block chain characterized by comprising
Acquisition module for acquiring the user's history behavioral data and user's current behavior data of game application, and will collect
Data be uploaded to credit server；
Obtain module, the user credit data in block chain for obtaining the credit server, wherein the user credit
Data are described in the credit server is acquired according to the user's history behavioral data of game application gathered in advance and in real time
Cheating is determined result, the use after determining user's current behavior cheating situation by user's current behavior data of game application
Family current behavior data and the user's history behavioral data are stored in the data on block chain as user credit data；
Generation module, for generating user behavior and limiting data according to the user credit data.
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| CN201811481176.8A CN109589607A (en) | 2018-12-05 | 2018-12-05 | A kind of game anti-cheating method and game anti-cheating system based on block chain |
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| CN201811481176.8A CN109589607A (en) | 2018-12-05 | 2018-12-05 | A kind of game anti-cheating method and game anti-cheating system based on block chain |
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