CN109787961A - The recognition methods of false flow and device, storage medium, server - Google Patents
The recognition methods of false flow and device, storage medium, server Download PDFInfo
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Abstract
The recognition methods and device, storage medium, server, the recognition methods of a kind of false flow include: that multiple information pair are extracted from one group of data on flows, and each information is to including IP address and associated geographical location information；To the multiple information to counting, with each IP address of the determination corresponding center IP geographical location and covering radius, the center IP geographical location and covering radius define the coverage area of the IP address；Data on flows to be detected is received, according to the coverage area of information pair and the IP address in the data on flows to be detected, determines whether the data on flows to be detected is false flow.The technical solution provided through the invention, can more accurately detection of false flow and real traffic, be conducive to screen false flow.
Description
Technical field
The present invention relates to big data technical fields, recognition methods and device, storage more particularly to a kind of false flow
Medium, server.
Background technique
In internet in real time bid (Real Time Bidding, abbreviation RTB) ad traffic, there are a large amount of false streams
Amount (also known as cheating flow).Internet protocol (Internet Protocol, the abbreviation that the false flow passes through forgery oneself
IP) the cheap fraudulent means such as address, geographical location information are forged into real traffic, to cheat advertiser.
True IP address with its geographical location information be it is relatively-stationary, with preset matching relationship.However, false stream
What the IP address of amount and the geographical location information being associated (for example, longitude and latitude data) were usually randomly generated.Thus, it utilizes
The geographical location information of false flow may can detecte part false flow with the otherness of true geographical location information.
The associated geographical location information of IP address of the prior art based on data on flows and the matched geographical location of the IP address are believed
Breath whether there is the comparison result of difference, judge whether the data on flows is false flow.
However, mostly just corresponding to urban geography position by the determining preset matching relationship with geographical location of IP address
It sets.For example, a certain matched geographical location information of IP address is Chinese Shanghai, another matched geographical location information of IP address is
BeiJing, China, geographical location precision are too low.Assuming that the associated geographical location information in the status IP of true data on flows is upper
Extra large Jing'an District, and the associated geographical location information of IP address for being used to cheat the false flow that advertisement is lived is Shanghai Pudong New Area,
So since prior art is only accurate to city rank, thus prior art is used, is that can not identify the falseness
Flow.
Summary of the invention
Present invention solves the technical problem that being how to optimize false flow recognition methods, more accurately to screen false flow
And real traffic.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of recognition methods of false flow, comprising: from one group
Multiple information pair are extracted in data on flows, each information is to including IP address and associated geographical location information；To described more
A information is to counting, with each IP address of the determination corresponding center IP geographical location and covering radius, the center IP
Geographical location and covering radius define the coverage area of the IP address；Receive data on flows to be detected, according to it is described to
Whether the coverage area of information pair and the IP address in the data on flows of detection, determine the data on flows to be detected
For false flow.
Optionally, the recognition methods further include: to the multiple information to before counting, according to IP address and ground
The preset matching relationship for managing position, to the multiple information to being filtered, to reject IP address geographical location associated with it
The unmatched information pair of information.
Optionally, the covering model of the information pair according in the data on flows to be detected and the IP address
It encloses, determines that the data on flows to be detected whether be false flow includes: that the data on flows to be detected is determined each
A information centering IP address to be detected and its geographical location information；If the geographical location information of the IP address to be detected
Fall into the coverage area of the IP address to be detected, it is determined that the data on flows to be detected is real traffic, if not
It falls into, it is determined that the data on flows to be detected is false flow.
Optionally, it is described to the multiple information to counting, it is geographical with the corresponding center IP of each IP address of determination
Position and covering radius include: to divide the multiple information pair according to IP address, by the information with identical IP address to drawing
It is divided into same informational cluster；For the IP address in each informational cluster, unite to the associated geographical location information of the IP address
Meter, to obtain the IP address corresponding center IP geographical location, and calculates the center IP geographical location and each information pair
In geographical location information distance, to obtain multiple distance values；Based on the multiple distance value fitted Gaussian distribution curve, with
The criterion distance for obtaining the Gaussian distribution curve is poor；The covering radius is determined according to the criterion distance difference.
Optionally, the geographical location information of each information centering includes longitude information and latitude information, the IP central place
Reason position includes longitude information and latitude information, the geographical position for calculating the center IP geographical location and each information centering
The distance of confidence breath includes: to calculate the ground in the center IP geographical location Yu each information centering using longitude and latitude range formula
Manage the distance of location information.
Optionally, the longitude and latitude range formula is as follows:
Wherein, d indicates that distance between two points, r indicate earth radius,Indicate latitude information, λ1、λ2Indicate longitude information.
Optionally, described to determine that the covering radius includes: that k σ is determined as described cover according to the criterion distance difference
Lid radius, wherein k indicates that setting factor beforehand, k > 1, and k are real number, and σ indicates that the criterion distance is poor.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of identification device of false flow, comprising: extract
Module, suitable for extracting multiple information pair from one group of data on flows, each information is to including IP address and associated geographical position
Confidence breath；Statistical module, suitable for the multiple information to counting, it is geographical with the corresponding center IP of each IP address of determination
Position and covering radius, the center IP geographical location and covering radius define the coverage area of the IP address；It determines
Module is suitable for receiving data on flows to be detected, according in the data on flows to be detected information pair and the IP
The coverage area of location determines whether the data on flows to be detected is false flow.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of storage medium, it is stored thereon with computer and refers to
The step of enabling, the above method executed when the computer instruction is run.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of server, including memory and processor, institute
The computer instruction for being stored with and being run on memory on the processor is stated, the processor runs the computer instruction
The step of Shi Zhihang above method.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
The embodiment of the present invention provides a kind of recognition methods of false flow, comprising: extracts from one group of data on flows multiple
Information pair, each information is to including IP address and associated geographical location information；To the multiple information to counting, with
Determine each IP address corresponding center IP geographical location and covering radius, the center IP geographical location and covering radius
Define the coverage area of the IP address；Data on flows to be detected is received, according to the letter in the data on flows to be detected
The coverage area of breath pair and the IP address, determines whether the data on flows to be detected is false flow.By this hair
The technical solution that bright embodiment provides, can use the geographical location information in a large amount of datas on flows and counts each IP address pair
The center the IP geographical location answered, and coverage area can be determined based on the covering radius of the IP address, and utilize the covering model
Enclosing reduces the center IP geographical location statistical error bring adverse effect.The prior art is compared, it can be with using the coverage area
More accurately determine the matched true geographical location of IP address, and then can more accurate judgement false flow and really stream
Amount, to screen prevention false flow.
Further, to the multiple information to before counting, the method also includes: according to IP address and geographical position
The preset matching relationship set, to the multiple information to being filtered, to reject IP address geographical location information associated with it
Unmatched information pair.The embodiment of the present invention can to multiple information to before counting, using prior art mistake
Invalid information pair is filtered, is further conducive to count the high center the IP geographical location of accuracy, is subsequent examination false flow
It lays the foundation.
Further, described to determine that the covering radius includes: that k σ is determined as described cover according to the criterion distance difference
Lid radius, wherein k indicates that setting factor beforehand, k > 1, and k are real number, and σ indicates that the criterion distance is poor.Through the embodiment of the present invention,
It can use setting factor beforehand and criterion distance difference define the coverage area of the IP address, statistical error can be effectively reduced and bring
Adverse effect, be conducive to the examination accuracy for further increasing false flow.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the recognition methods of false flow of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of the identification device of false flow of the embodiment of the present invention.
Specific embodiment
It will be appreciated by those skilled in the art that as described in the background art, there are a large amount of false flows in Internet advertising flow, by
It is lower in the precision of the preset matching relationship in IP address in the prior art and geographical location, thus, utilize above-mentioned preset matching
Relationship is still difficult to accurately identify data on flows to be detected to be false flow or real traffic.
The embodiment of the present invention provides a kind of recognition methods of false flow, comprising: extracts from one group of data on flows multiple
Information pair, each information is to including IP address and associated geographical location information；To the multiple information to counting, with
Determine each IP address corresponding center IP geographical location and covering radius, the center IP geographical location and covering radius
Define the coverage area of the IP address；Data on flows to be detected is received, according to the letter in the data on flows to be detected
The coverage area of breath pair and the IP address, determines whether the data on flows to be detected is false flow.
The technical solution provided through the embodiment of the present invention can use the geographical location information system in a large amount of datas on flows
Each IP address corresponding center IP geographical location is counted out, and coverage area can be determined based on the covering radius of the IP address,
And the center IP geographical location statistical error bring is reduced using the coverage area and is adversely affected.The prior art is compared, is utilized
The coverage area can more accurately determine the matched true geographical location of IP address, so can more accurate judgement it is empty
False flow and real traffic, to screen prevention false flow.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Term as used herein "comprising", " comprising " and similar terms are understood to open term, i.e.,
" including/including but not limited to ", expression can also include other content.In this disclosure, term "based" is " at least portion
It is based on dividing ".
Fig. 1 is a kind of flow diagram of the recognition methods of false flow of the embodiment of the present invention.The recognition methods can
To be particularly suitable for server-side, be examined with the authenticity to internet RTB ad traffic for calculating equipment side
It surveys.In specific implementation, the server cluster that the server can be individual server or be made of multiple servers.
Specifically, the recognition methods may comprise steps of:
Step S101 extracts multiple information pair from one group of data on flows, and each information is to including IP address and its association
Geographical location information；
Step S102, to the multiple information to counting, with the corresponding center the IP geography position of each IP address of determination
It sets and covering radius, the center IP geographical location and covering radius define the coverage area of the IP address；
Step S103 receives data on flows to be detected, according in the data on flows to be detected information pair and
The coverage area of the IP address determines whether the data on flows to be detected is false flow.
More specifically, in step s101, when terminal (for example, the mobile devices such as mobile phone, Pad) surf the Internet, usually all
It is that internet, institute are accessed by the base station of mobile communication or Wireless Fidelity (Wireless Fidelity, abbreviation Wi-Fi) hot spot
The data on flows of mobile device broadcast can be collected by stating server.And the letter of the data on flows is extracted from each data on flows
Breath pair.
The information is to may include that the address Internet protocol (Internet Protocol, abbreviation IP) is associated with it
Geographical location information.Wherein, the geographical location information is usually longitude and latitude data, including longitude information and latitude information.
It, can be to the information being collected into progress according to the preset matching relationship of IP address in the prior art and geographical location
Filtering, to reject invalid data.The invalid data can be the unmatched letter of IP address geographical location information associated with it
Breath pair, being also possible to geographical location information is the information pair that empty or IP address is sky.
For example, the associated geographical location information of IP address obtained in the information pair extracted from data on flows is Japan east
Capital, and according to the preset matching relationship of the IP address and geographical location, the matched geographical location information of the IP address is China
Nanjing, at this point it is possible to determine that the information to for invalid data, and can reject the information pair.
It will be appreciated by those skilled in the art that the order of magnitude of filtered information pair is very huge, for example, the order of magnitude is thousand
Ten thousand grades.Using the geographical location information of the information centering as longitude and latitude data instance, for each IP address, the IP address
The quantity of longitude and latitude data is also very huge.For example, for same mobile device, when the mobile device moving range compared with
When small (for example, moving range is same city), IP address may be identical, but be moved through since the mobile device is in
Cheng Zhong, the longitude and latitude data that the data on flows generated extracts are possibly different from, thus can obtain same IP address
Multiple longitude and latitude data.
In step s 102, the server can be to filtered information to counting, with each IP address of determination
The corresponding center IP geographical location.
Further, it is possible to according to IP address it is different by filtered information to dividing.When it is implemented, can incite somebody to action
Information with identical IP address is to being divided into same informational cluster.
Specifically, can be counted to the IP address in each informational cluster, that is, for the IP in each informational cluster
Address counts the associated geographical location information of the IP address, and then by calculating the associated whole of IP address
Longitude information, the mathematic expectaion of latitude information, the corresponding longitude information of the available IP address and latitude information, the longitude
Information and latitude information can be used as the center the IP geographical location of the IP address.It is matched compared with IP address in the prior art
The precision of geographical location information, the center IP geographical location is higher, for example, the center IP geographical location can be to Yingcheng City
Interior block, road, building information etc..
Later, can calculate each information in the center IP geographical location and the informational cluster to comprising geographical position
The distance of confidence breath.Specifically, it is assumed that IP address longitude and latitude data associated with it meet dimensional gaussian distribution, then root
According to longitude and latitude range formula, the geographical location information of the center IP geographical location and each information centering can be calculated
Distance obtains multiple distance values.
Wherein, the longitude and latitude range formula can be such that
Wherein, d indicates that distance between two points, r indicate earth radius, can be set to as 6371 kms,Indicate latitude
Spend information, λ1、λ2Indicate longitude information.
Further, it is possible to be based on each distance value fitted Gaussian distribution curve, the distance of the Gaussian distribution curve is obtained
Standard deviation.The criterion distance difference is the minimum vertex-covering radius in the center the IP geographical location of the IP address.
In specific implementation, since the center IP geographical location statistics obtains.It, can be by k σ to reduce statistical error
It is determined as the covering radius, to reduce statistical error bring adverse effect.Wherein, k indicates setting factor beforehand, k > 1, and k is
Real number, σ indicate that the criterion distance is poor.
In practical applications, k can be 3.Those skilled in the art can be set according to actual needs k value, however it is not limited to
Above-mentioned concrete scheme.
Based on the center IP geographical location and covering radius, the coverage area of the IP address can be defined.True
After determining the corresponding coverage area of the IP address, the IP address, the center the IP geographical location of IP address, distance can be marked
Quasi- difference and corresponding coverage area are added in IP geographic position data library.
It in step s 103, can be according to the covering model of information pair and the IP address in data on flows to be detected
It encloses, determines whether the data on flows to be detected is false flow.It in specific implementation, can be to be detected based on what is received
Data on flows in information pair and IP geographic position data library, determine the data on flows to be detected whether be
False flow.
Specifically, being extracted from the data on flows to be detected including IP address and associated geographical location letter
The information pair of breath.Later, the information pair based on IP geographic position data library and the data on flows to be detected, can be true
Whether the fixed data on flows to be detected is false flow.
More particularly, for the data on flows to be detected, determine each information centering IP address to be detected and
Its geographical location information, if the geographical location information of the IP address to be detected falls into covering for the IP address to be detected
Lid range, it is determined that the data on flows to be detected is real traffic；Otherwise, if the geography of the IP address to be detected
Location information does not fall within the coverage area of the IP address to be detected, it is determined that the data on flows to be detected is false stream
Amount.
As a unrestricted example, determine the IP address to be detected and its geographical location information (such as
Longitude information and latitude information) after, it is corresponding its can be searched in IP geographic position data library according to the IP address
Longitude and latitude data and coverage area.Then, the geographical location information of the IP address to be detected is calculated apart from the IP
The distance d in the center the IP geographical location of location.As d > k σ, it is described to be detected to indicate that the IP address to be detected is not fallen within
The coverage area of IP address, thus can determine that the data on flows to be detected is false flow.
By upper, the technical solution provided through the embodiment of the present invention can count the center the IP geography of each IP address
Position and coverage area, the center the IP geographical location information precision are greater than the geography that prior art provides
Location information precision, thus, using the embodiment of the present invention can more accurate judgement false flow and real traffic, it is anti-to screen
Model false flow.
Fig. 2 is a kind of structural schematic diagram of the identification device of false flow of the embodiment of the present invention.The false flow
Identification device 2 (for simplicity, referred to as identification device 2) can be used for implementing method and technology scheme shown in above-mentioned Fig. 1, by server one
Side executes.
Specifically, the identification device 2 may include: extraction module 21, it is suitable for extracting from one group of data on flows more
A information pair, each information is to including IP address and associated geographical location information；Statistical module 22 is suitable for the multiple
Information is to counting, with each IP address of the determination corresponding center IP geographical location and covering radius, the IP central place
Reason position and covering radius define the coverage area of the IP address；Determining module 23 is suitable for receiving flow number to be detected
According to determining described to be detected according to the coverage area of information pair and the IP address in the data on flows to be detected
Data on flows whether be false flow.
In specific implementation, the identification device 2 further include: filtering module 24 is suitable for the multiple information to progress
Before statistics, according to the preset matching relationship of IP address and geographical location, to the multiple information to being filtered, to reject IP
The unmatched information pair of address geographical location information associated with it.
In specific implementation, the determining module 23 includes: the first determining submodule 231, is suitable for for described to be detected
Data on flows, determine each information centering IP address to be detected and its geographical location information；Second determines submodule 232,
If the geographical location information of the IP address to be detected falls into the coverage area of the IP address to be detected, described
Two determine submodules 232 be adapted to determine that the data on flows to be detected be real traffic, if do not fallen within, it is determined that it is described to
The data on flows of detection is false flow.
The statistical module 22 may include: to divide submodule 221, be suitable for dividing the multiple information according to IP address
It is right, by the information with identical IP address to being divided into same informational cluster；Statistic submodule 222 is suitable for being directed to each informational cluster
In IP address, the associated geographical location information of the IP address is counted, to obtain in the corresponding IP of the IP address
Heart geographical location, and the center IP geographical location is calculated at a distance from the geographical location information of each information centering, to obtain
Multiple distance values；It is fitted submodule 223, is suitable for being based on the multiple distance value fitted Gaussian distribution curve, to obtain the height
The criterion distance of this distribution curve is poor；Third determines submodule 224, suitable for determining the covering half according to the criterion distance difference
Diameter.
In specific implementation, the geographical location information of each information centering may include longitude information and latitude information, institute
Stating the center IP geographical location may include longitude information and latitude information, and the statistic submodule 222 is further adapted for utilizing longitude and latitude
Range formula calculates the center IP geographical location at a distance from the geographical location information of each information centering.
The longitude and latitude range formula can be such that
Wherein, d indicates that distance between two points, r indicate earth radius,Indicate latitude information, λ1、λ2Indicate longitude letter
Breath.
In specific implementation, third determines that submodule 224 is further adapted for k σ being determined as the covering radius, wherein k table
Show that setting factor beforehand, k > 1, and k are real number, σ indicates that the criterion distance is poor.
Working principle, more contents of working method about the identification device 2, can be together referring in above-mentioned Fig. 1
Associated description, which is not described herein again.
Further, a kind of storage medium is also disclosed in the embodiment of the present invention, is stored thereon with computer instruction, the calculating
Method and technology scheme described in above-mentioned embodiment illustrated in fig. 1 is executed when machine instruction operation.Preferably, the storage medium can wrap
Including the computers such as non-volatile (non-volatile) memory or non-transient (non-transitory) memory can
Read storage medium.The storage medium may include ROM, RAM, disk or CD etc..
Further, the embodiment of the present invention is also disclosed a kind of server, including memory and processor, on the memory
It is stored with the computer instruction that can be run on the processor, the processor executes when running the computer instruction
State method and technology scheme described in embodiment illustrated in fig. 1.
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (10)
1. a kind of recognition methods of false flow characterized by comprising
Multiple information pair are extracted from one group of data on flows, each information is believed including IP address and associated geographical location
Breath；
To the multiple information to counting, with each IP address of the determination corresponding center IP geographical location and covering half
Diameter, the center IP geographical location and covering radius define the coverage area of the IP address；
Receive data on flows to be detected, according to the information in the data on flows to be detected to and the IP address cover
Lid range determines whether the data on flows to be detected is false flow.
2. recognition methods according to claim 1, which is characterized in that the multiple information to before counting, go back
Include:
According to the preset matching relationship of IP address and geographical location, to the multiple information to being filtered, to reject IP address
The unmatched information pair of geographical location information associated with it.
3. recognition methods according to claim 1, which is characterized in that described according in the data on flows to be detected
The coverage area of information pair and the IP address determines whether the data on flows to be detected is that false flow includes:
For the data on flows to be detected, each information centering IP address to be detected and its geographical location information are determined；
If the geographical location information of the IP address to be detected falls into the coverage area of the IP address to be detected, really
The fixed data on flows to be detected is real traffic, if do not fallen within, it is determined that the data on flows to be detected is falseness
Flow.
4. recognition methods according to claim 1, which is characterized in that it is described to the multiple information to counting, with
It determines each IP address corresponding center IP geographical location and covering radius includes:
The multiple information pair is divided according to IP address, by the information with identical IP address to being divided into same informational cluster；
For the IP address in each informational cluster, the associated geographical location information of the IP address is counted, to obtain
The IP address corresponding center IP geographical location is stated, and calculates the geographical location in the center IP geographical location Yu each information centering
The distance of information, to obtain multiple distance values；
It is poor with the criterion distance for obtaining the Gaussian distribution curve based on the multiple distance value fitted Gaussian distribution curve；
The covering radius is determined according to the criterion distance difference.
5. recognition methods according to claim 4, which is characterized in that the geographical location information of each information centering includes warp
Information and latitude information are spent, the center IP geographical location includes longitude information and latitude information, the calculating center IP
Geographical location includes: at a distance from the geographical location information of each information centering
Using longitude and latitude range formula, calculate the geographical location information of the center IP geographical location and each information centering away from
From.
6. recognition methods according to claim 5, which is characterized in that the longitude and latitude range formula is as follows:
Wherein, d indicates that distance between two points, r indicate earth radius,Indicate latitude information, λ1、λ2Indicate longitude information.
7. recognition methods according to claim 4, which is characterized in that described to be covered according to criterion distance difference determination
Lid radius includes:
K σ is determined as the covering radius, wherein k indicates that setting factor beforehand, k > 1, and k are real number, and σ indicates the distance mark
It is quasi- poor.
8. a kind of identification device of false flow characterized by comprising
Extraction module, suitable for extracting multiple information pair from one group of data on flows, each information is to including IP address and its association
Geographical location information；
Statistical module, suitable for the multiple information to counting, with the corresponding center the IP geography position of each IP address of determination
It sets and covering radius, the center IP geographical location and covering radius define the coverage area of the IP address；
Determining module is suitable for receiving data on flows to be detected, according in the data on flows to be detected information pair and
The coverage area of the IP address determines whether the data on flows to be detected is false flow.
9. a kind of storage medium, is stored thereon with computer instruction, which is characterized in that the right of execution when computer instruction is run
Benefit requires the step of 1 to 7 described in any item methods.
10. a kind of server, including memory and processor, be stored on the memory to run on the processor
Computer instruction, which is characterized in that perform claim requires any one of 1 to 7 institute when the processor runs the computer instruction
The step of method stated.
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| CN111199417A (en) * | 2019-11-29 | 2020-05-26 | 北京深演智能科技股份有限公司 | Identification method and device for virtual equipment ID |
| CN111953654A (en) * | 2020-07-08 | 2020-11-17 | 北京明略昭辉科技有限公司 | False flow identification method and device |
| CN113438201A (en) * | 2021-05-17 | 2021-09-24 | 北京达佳互联信息技术有限公司 | Equipment identification method, device, equipment and storage medium |
| WO2023029486A1 (en) * | 2021-08-30 | 2023-03-09 | 北京百度网讯科技有限公司 | Site evaluation method and apparatus, and electronic device, storage medium and program product |
| CN116436761A (en) * | 2023-06-12 | 2023-07-14 | 深圳和润达科技有限公司 | Method and device for realizing on-line identification and on-line registration of equipment position |
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