CN110706033B - Method, system and medium for analyzing internet advertisement abnormal equipment - Google Patents
Method, system and medium for analyzing internet advertisement abnormal equipment Download PDFInfo
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Abstract
The invention discloses a method, a system and a medium for analyzing internet advertisement abnormal equipment, wherein the method comprises the following steps: acquiring installed APP information and advertisement requests of advertisement client equipment; according to the installed APP information of the advertisement client device, marking and caching the advertisement client device information with abnormal states; for the advertisement request of the advertisement client device, if the cached advertisement client device is in a normal state, responding to the advertisement request and returning the advertisement content; otherwise, the advertising content is refused to be returned to the advertising client. The invention can analyze whether the equipment requesting the advertisement is abnormal based on the installed application change of the intelligent equipment, and make a reasonable advertisement request interception strategy on the basis, thereby effectively reducing the resource waste and advertisement delivery loss of the advertisement server caused by the abnormal equipment and improving the advertisement delivery quality and effect.
Description
Technical Field
The invention relates to the technical field of Internet advertisement delivery, in particular to a method, a system and a medium for analyzing abnormal equipment of Internet advertisements.
Background
Along with the rapid development of intelligent equipment and the Internet, a large number of intelligent equipment APP applications are in butt joint with an advertisement delivery system, advertisement delivery is directed and screened through the advertisement delivery system, advertisement delivery is carried out on media terminals such as computers, intelligent mobile phones and television boxes, the media terminals take terminal information when advertisement is requested, corresponding display and click monitoring information is reported when advertisement display and click are carried out, so that advertisement request, delivery, display and click behavior records of each terminal can be accurately counted through data, and advertisement charging is carried out through modes such as CPM and CPC. To ensure that the presentation and clicking of the advertisement billing are indeed from normal terminal equipment, anti-cheating of advertisements is indispensable. The industry has various methods for analyzing the abnormal advertisement flow and anti-cheating method, and the main method at present is to judge whether each presentation and click report is true or not by carrying out parameter characteristic analysis on advertisement request and monitoring report data. However, if the device behavior data except the advertisement can be obtained, the device can also be used for carrying out the abnormality analysis of the device by combining the behavior data, and the quality of the device reporting the advertisement behavior can be evaluated.
Disclosure of Invention
The invention aims to solve the technical problems: aiming at the problems in the prior art, the invention provides a method, a system and a medium for analyzing abnormal equipment of internet advertisements, which can analyze whether the equipment requesting advertisements is abnormal based on the installed application change of intelligent equipment so as to make a reasonable advertisement request interception strategy on the basis, reduce the resource waste and advertisement delivery loss of an advertisement server caused by abnormal equipment and improve the quality and effect of advertisement delivery.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method of analyzing internet advertising anomaly devices, the steps of implementing comprising:
1) Acquiring installed APP information and advertisement requests of advertisement client equipment;
2) And marking and caching the advertisement client device information with abnormal states according to the installed APP information of the advertisement client device and the advertisement request.
Optionally, the step of marking and caching the advertisement client device information with abnormal status in step 2) includes:
2.1 Attempting to acquire the time of the last advertisement request in the appointed period of the advertisement client device, if the acquisition is successful and the advertisement client device has no installed APP information, judging the state of the advertisement client device to be abnormal, caching the state of the advertisement client device, ending and exiting; otherwise, if the advertisement client device has the installed APP information to report, jumping to execute the next step;
2.2 Judging whether the installed APP information reported by the advertisement client device is empty or not each time, if so, judging that the advertisement client device does not grant the authority to read the installed APP information, judging that the state of the advertisement client device is normal, ending and exiting; otherwise, jumping to execute the next step;
2.3 Judging whether the number of times of the installed APP information reported by the advertisement client device exceeds a preset threshold value and whether the change rate of the installed APP list exceeds the preset threshold value is met, if so, judging that the advertisement client device is a brushing device, the state of the advertisement client device is abnormal, caching the state of the advertisement client device, and ending and exiting.
Optionally, the change rate of the installed APP list is obtained by dividing a count b by a number a, where the count b is a count obtained after the installed APP information reported by the advertisement client device is deduplicated, and the number a is a number of times of the installed APP information reported by the advertisement client device.
Optionally, the caching the state of the advertisement client device further includes setting an expiration period, and if the expiration period expires, clearing the cached abnormal state information of the advertisement client device.
Optionally, the step of caching the state of the advertiser device comprises: firstly judging whether the advertisement client device has cached abnormal state information, if so, updating the expiration period of the cached abnormal state information; otherwise, the abnormal state information of the advertiser terminal device is cached and an expiration period is set.
Optionally, step 1) further comprises the step of sending the installed APP information and the advertisement request by the advertisement client device: the advertisement client device tries to acquire the local installed APP information, if the acquisition fails, generating empty installed APP information, otherwise, generating non-empty installed APP information, and sending the installed APP information to the appointed device; meanwhile, the advertisement client device detects a local advertisement request, and if the advertisement request is detected to be sent out, the advertisement request is sent to the designated device.
Optionally, step 2) further includes a step of responding to an advertisement request of the advertisement client device according to the status of the cached advertisement client device, and the detailed steps include:
s1) receiving an advertisement request of an advertisement client device;
s2) judging the cached state information corresponding to the advertisement client equipment sending the advertisement request, and refusing to return the advertisement content to the advertisement client if the advertisement client equipment is checked to have cached abnormal state information; otherwise, the advertisement content is returned to the advertisement client.
In addition, the invention also provides a system for analyzing the abnormal equipment of the internet advertisement, which comprises the following steps:
an information acquisition program unit for acquiring installed APP information and advertisement request of the advertisement client device;
and the state identification program unit is used for marking and caching the advertisement client device information with abnormal states according to the installed APP information of the advertisement client device and the advertisement request.
Furthermore, the present invention provides a system for analyzing an internet advertisement anomaly device, comprising a computer device programmed or configured to perform the steps of the method for analyzing an internet advertisement anomaly device, or a computer program programmed or configured to perform the method for analyzing an internet advertisement anomaly device stored on a storage medium of the computer device.
Furthermore, the present invention provides a computer-readable storage medium having stored thereon a computer program programmed or configured to perform the method of analyzing an internet advertisement anomaly device.
Compared with the prior art, the invention has the following advantages:
1. the invention judges whether the equipment is real or abnormal through the logic analysis, so that the advertisement delivery system can optimize the request of the equipment in an abnormal period so as to reduce the loss caused by abnormal flow.
2. The invention combines the characteristics of common internet advertisements, and is suitable for the application with the following characteristics: 1) Intelligent device APP capable of embedding advertisement SDK; 2) The behavior real-time performance, the behavior monitoring events such as the acquisition of advertisement information, the material display, clicking and the like are all reported in real time, and the method has the advantage of wide application.
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FIG. 1 is a schematic diagram of a basic flow of a method according to an embodiment of the present invention.
FIG. 2 is a detailed flow chart of step 2) of the embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a functional module of a system according to an embodiment of the present invention.
Detailed Description
The method, system and medium for analyzing the abnormal device of the internet advertisement according to the present invention will be described in further detail below by taking a certain internet advertisement as an example. The internet advertisement platform mainly comprises the following modules: 1) An advertisement SDK embedded in a module specially responsible for advertisement interaction in the media APP; 2) The advertisement putting system receives the advertisement SDK request, performs targeted screening on advertisements, and returns advertisement information to the advertisement SDK; 3) The advertisement monitoring service receives the report of the display, clicking and other actions of the advertisement SDK and records and archives the report; 4) An advertisement management system, a visualization system for managing advertisement information, and an advertisement operator directly faces the system. The internet advertisement service flow mainly comprises the following processes: 1) An operator performs advertisement putting configuration in an advertisement management system; 2) The advertisement SDK is started along with the APP, and related information is reported to the advertisement monitoring service; 3) The advertisement SDK requests an advertisement delivery system and waits for returning advertisement content; 4) The advertisement putting system receives the terminal request, screens and returns advertisement information to the advertisement SDK; 5) The advertisement SDK displays advertisement materials in the terminal according to the sequence; 6) Reporting display monitoring information to advertisement monitoring service at the beginning, ending and other nodes of each advertisement display; 7) When a user clicks the advertisement material in the advertisement display process, the terminal reports click monitoring information to the advertisement monitoring service.
As shown in fig. 1, the implementation steps of the method for analyzing an internet advertisement abnormality device in this embodiment include:
1) Acquiring installed APP information and advertisement requests of advertisement client equipment;
2) And marking and caching the advertisement client device information with abnormal states according to the installed APP information of the advertisement client device and the advertisement request.
In this embodiment, the cache advertisement client device may be identified by a device ID (the advertisement SDK and the advertisement interface protocol must include a device ID parameter), which may have different implementation manners in different operating systems, for example, IDFA in IOS system, IMEI in Android system, and IMEI in PC and OTT system: a MAC address.
As shown in fig. 2, the detailed steps of marking and caching the advertisement client device information with abnormal status in step 2) include:
2.1 Attempting to acquire the time of the last advertisement request in the appointed period of the advertisement client device, if the acquisition is successful and the advertisement client device has no installed APP information, judging the state of the advertisement client device to be abnormal, caching the state of the advertisement client device, ending and exiting; otherwise, if the advertisement client device has the installed APP information to report, jumping to execute the next step;
2.2 Judging whether the installed APP information reported by the advertisement client device is empty or not each time, if so, judging that the advertisement client device does not grant the authority to read the installed APP information, judging that the state of the advertisement client device is normal, ending and exiting; otherwise, jumping to execute the next step;
2.3 Judging whether the number of times of the installed APP information reported by the advertisement client device exceeds a preset threshold value and whether the change rate of the installed APP list exceeds the preset threshold value is met, if so, judging that the advertisement client device is a brushing device, the state of the advertisement client device is abnormal, caching the state of the advertisement client device, and ending and exiting.
It should be noted that, in this embodiment, only the status of the abnormal advertisement client device is recorded, and in addition, only the status of the normal advertisement client device may be recorded, or the status of the normal advertisement client device and the status of the abnormal advertisement client device may be recorded at the same time, which is basically the same as the method in this embodiment, and the essence of the method is to intercept the advertisement of the abnormal advertisement client device, so that details are not repeated herein.
In this embodiment, the calculation steps of the change rate of the installed APP list are:
the number a of reported installed APP information is obtained,
acquiring reported installed APP information and de-duplicating to obtain a count b,
dividing the count b by the number a (b/a) yields the installed APP list rate of change.
In this embodiment, the number of times a of the installed APP information reported by the advertiser device is 20 (exceeds the preset threshold 10), the number of times a (b/a) of dividing the number of times b by the number of times a (b/a) of obtaining the count b is 16, so that the change rate of the installed APP list is 0.8 (exceeds the preset threshold 0.5), and therefore, step 2.3) determines that the number of times of the installed APP information reported by the advertiser device exceeds the preset threshold and that the change rate of the installed APP list exceeds the preset threshold is satisfied, and therefore, determines that the advertiser device is a brusher device, and the state of the advertiser device is abnormal.
In this embodiment, the step of caching the status of the advertisement client device further includes setting an expiration period, and if the expiration period expires, clearing the cached abnormal status information of the advertisement client device, so that the problem that advertisement content cannot be normally displayed after some advertisement client devices are restored to normal can be prevented by expiration and stowage.
In this embodiment, the detailed steps of caching the status of the advertiser device include: firstly judging whether the advertisement client device has cached abnormal state information, if so, updating the expiration period of the cached abnormal state information; otherwise, the abnormal state information of the advertiser terminal device is cached and an expiration period is set.
In this embodiment, the device ID of the advertisement client device determined to be abnormal is marked, and a period of time is buffered, if the state of the advertisement client device is recovered to be normal, the mark is invalid after the abnormal mark buffer expires, which indicates that the behavior of the advertisement client device is recovered to be normal; if a number of periods of a certain advertiser device are continuously analyzed as anomalies, the number of periods will be continuously cached. The change frequency of the installed APP list and the abnormal equipment cache period are reasonably configured in a real-time process according to actual service conditions and analysis granularity.
In this embodiment, step 1) further includes the step of sending the installed APP information and the advertisement request by the advertisement client device: the advertisement client device tries to acquire the local installed APP information, if the acquisition fails, generating empty installed APP information, otherwise, generating non-empty installed APP information, and sending the installed APP information to the appointed device; meanwhile, the advertisement client device detects a local advertisement request, and if the advertisement request is detected to be sent out, the advertisement request is sent to the designated device.
In this embodiment, step 2) further includes a step of responding to an advertisement request of the advertisement client device according to the status of the cached advertisement client device, and the detailed steps include:
s1) receiving an advertisement request of an advertisement client device;
s2) judging the cached state information corresponding to the advertisement client equipment sending the advertisement request, and refusing to return the advertisement content to the advertisement client if the advertisement client equipment is checked to have cached abnormal state information; otherwise, the advertisement content is returned to the advertisement client.
As shown in fig. 3, the method of the present embodiment forms a topology structure of a system:
the media APP is an APP carried in the advertisement client device, an advertisement SDK is embedded in the media APP, and the advertisement SDK periodically acquires the installed APP name on the device under the condition of user authorization and reports the APP name to the advertisement monitoring service; and if the user is unauthorized to acquire the installed APP information, reporting the empty information to the advertisement monitoring service. When the advertisement SDK is started each time, trying to acquire the installed APP information on the host equipment, part of the system needs user authorization to acquire the information, and if the installed APP information can be acquired, reporting the equipment ID and the installed APP name list to the advertisement monitoring service; if the installed APP information cannot be acquired, the device ID and the empty APP name list are reported to the advertisement monitoring service.
The advertisement monitoring service-anomaly analysis engine is a main body for executing the foregoing step 1) and step 2) of the method for analyzing internet advertisement anomaly equipment according to the present embodiment, and mainly includes an equipment anomaly analysis module and a cache module, and by collecting an App list and advertisement requests installed on an intelligent device and analyzing the change of the list to determine whether the equipment is anomalous, thereby evaluating the quality of the equipment and providing anti-cheating data for an advertisement delivery system. The advertisement monitoring service-anomaly analysis engine analyzes the received device installed APP and advertisement request record, judges whether the device is real or abnormal, and the analysis logic is as follows: if some equipment does not report the installed APP information for a long time, but has an advertisement request, the equipment is likely to be non-real equipment and marked as abnormal; if the multiple installed APP list reported by a certain device in a period of time is changed frequently, the device is possibly a machine brushing device and is marked as abnormal; the advertisement monitoring service-anomaly analysis engine marks the equipment ID judged to be abnormal and caches a period of time, if the equipment behavior is recovered to be normal, the mark is invalid after the anomaly mark cache is expired, and the equipment behavior is recovered to be normal; if a certain device is continuously analyzed as abnormal for multiple cycles, the multiple cycles will be continuously cached. And the change frequency of the installed APP list and the abnormal equipment cache period are reasonably configured in a real-time process according to the actual service condition and the analysis granularity.
And the advertisement delivery system is used for carrying out abnormality judgment detection and executing a preset advertisement strategy according to the cached state and selecting proper advertisement screening logic, so that behaviors such as advertisement abnormal display, clicking and the like caused by abnormal equipment are reduced, and the loss caused by abnormal traffic is reduced. After the advertisement SDK requests the advertisement delivery system, the advertisement delivery system analyzes the equipment ID from the request parameters, the advertisement delivery system uses the equipment ID to acquire the abnormality mark of the current equipment from the cache, and if the acquired abnormality mark is abnormal, the advertisement delivery system indicates that the equipment has abnormal behavior recently. And the advertisement delivery system adds the device request time stamp into the cache, and records the latest advertisement request time of the device. If the indication is abnormal, relevant anti-cheating policy logic can be performed, and finally the content is returned to the advertisement SDK. And adding the equipment ID and the current timestamp into a cache, and setting the expiration time of the cache as one period.
It should be noted that, the advertisement monitoring service-anomaly analysis engine and the advertisement delivery system are only the division modes of the logic function modules, and in fact, the advertisement monitoring service-anomaly analysis engine and the advertisement delivery system can be implemented in the same physical node of the server or in different physical nodes of the server.
In summary, the method for analyzing the internet advertisement abnormal device according to the embodiment determines whether the device is real or abnormal through the above logic analysis, so that the advertisement delivery system can optimize the request of the device in the abnormal period, thereby reducing the loss caused by abnormal traffic.
In addition, the embodiment also provides a system for analyzing the internet advertisement abnormal equipment, which comprises:
an information acquisition program unit for acquiring installed APP information and advertisement request of the advertisement client device;
and the state identification program unit is used for marking and caching the advertisement client device information with abnormal states according to the installed APP information of the advertisement client device and the advertisement request.
In addition, the present embodiment also provides a system for analyzing an internet advertisement abnormal device, which includes a computer device programmed or configured to perform the steps of the method for analyzing an internet advertisement abnormal device, or a computer program programmed or configured to perform the method for analyzing an internet advertisement abnormal device, stored on a storage medium of the computer device.
Further, the present embodiment also provides a computer-readable storage medium having stored thereon a computer program programmed or configured to perform the aforementioned method of analyzing an internet advertisement abnormality device.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (9)
1. A method for analyzing internet advertising anomaly devices, the steps of implementing comprising:
1) Acquiring installed APP information and advertisement requests of advertisement client equipment;
2) The method for marking and caching the advertisement client device information with abnormal states comprises the following detailed steps of:
2.1 Attempting to acquire the time of the last advertisement request in the appointed period of the advertisement client device, if the acquisition is successful and the advertisement client device has no installed APP information, judging the state of the advertisement client device to be abnormal, caching the state of the advertisement client device, ending and exiting; otherwise, if the advertisement client device has the installed APP information to report, jumping to execute the next step;
2.2 Judging whether the installed APP information reported by the advertisement client device is empty or not each time, if so, judging that the advertisement client device does not grant the authority to read the installed APP information, judging that the state of the advertisement client device is normal, ending and exiting; otherwise, jumping to execute the next step;
2.3 Judging whether the number of times of the installed APP information reported by the advertisement client device exceeds a preset threshold value and whether the change rate of the installed APP list exceeds the preset threshold value is met, if so, judging that the advertisement client device is a brushing device, the state of the advertisement client device is abnormal, caching the state of the advertisement client device, and ending and exiting.
2. The method according to claim 1, wherein the change rate of the installed APP list is obtained by dividing a count b by a number of times a, where the count b is a count obtained by de-duplication of installed APP information reported by the advertiser device, and the number of times a is a number of times of installed APP information reported by the advertiser device.
3. The method of claim 1, wherein the caching the status of the advertiser device further comprises setting an expiration period, and clearing the cached status information of the advertiser device if the expiration period expires.
4. The method for analyzing an internet advertisement anomaly device of claim 3, wherein the step of caching the state of the advertisement client device comprises: firstly judging whether the advertisement client device has cached abnormal state information, if so, updating the expiration period of the cached abnormal state information; otherwise, the abnormal state information of the advertiser terminal device is cached and an expiration period is set.
5. The method for analyzing internet advertisement anomaly device of claim 1, further comprising the step of transmitting the installed APP information and the advertisement request by the advertisement client device before the step 1): the advertisement client device tries to acquire the local installed APP information, if the acquisition fails, generating empty installed APP information, otherwise, generating non-empty installed APP information, and sending the installed APP information to the appointed device; meanwhile, the advertisement client device detects a local advertisement request, and if the advertisement request is detected to be sent out, the advertisement request is sent to the designated device.
6. The method for analyzing an internet advertisement anomaly device according to any one of claims 1 to 5, wherein step 2) further comprises a step of responding to an advertisement request of the advertisement client device according to a state of the cache advertisement client device, the detailed steps comprising:
s1) receiving an advertisement request of an advertisement client device;
s2) judging the cached state information corresponding to the advertisement client equipment sending the advertisement request, and refusing to return the advertisement content to the advertisement client if the advertisement client equipment is checked to have cached abnormal state information; otherwise, the advertisement content is returned to the advertisement client.
7. A system for analyzing internet advertising anomaly devices, comprising:
an information acquisition program unit for acquiring installed APP information and advertisement request of the advertisement client device;
the state identification program unit is used for marking and caching the advertisement client device information with abnormal states according to the installed APP information of the advertisement client device and the advertisement request, and the detailed steps of marking and caching the advertisement client device information with abnormal states comprise:
2.1 Attempting to acquire the time of the last advertisement request in the appointed period of the advertisement client device, if the acquisition is successful and the advertisement client device has no installed APP information, judging the state of the advertisement client device to be abnormal, caching the state of the advertisement client device, ending and exiting; otherwise, if the advertisement client device has the installed APP information to report, jumping to execute the next step;
2.2 Judging whether the installed APP information reported by the advertisement client device is empty or not each time, if so, judging that the advertisement client device does not grant the authority to read the installed APP information, judging that the state of the advertisement client device is normal, ending and exiting; otherwise, jumping to execute the next step;
2.3 Judging whether the number of times of the installed APP information reported by the advertisement client device exceeds a preset threshold value and whether the change rate of the installed APP list exceeds the preset threshold value is met, if so, judging that the advertisement client device is a brushing device, the state of the advertisement client device is abnormal, caching the state of the advertisement client device, and ending and exiting.
8. A system for analysing internet advertising anomaly devices, comprising a computer device, characterized in that the computer device is programmed or configured to perform the steps of the method for analysing internet advertising anomaly devices according to any one of claims 1 to 6, or a computer program programmed or configured to perform the method for analysing internet advertising anomaly devices according to any one of claims 1 to 6 is stored on a storage medium of the computer device.
9. A computer readable storage medium having stored thereon a computer program programmed or configured to perform the method of analyzing an internet advertisement anomaly device of any one of claims 1 to 6.
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