METHOD AND SYSTEM FOR IP ADDRESS TRAFFIC BASED DETECTION OF FRAUD
First Claim
Patent Images
1. A computer system comprising:
- one or more processors; and
a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for detecting advertisement fraud based on IP address, the method comprising;
receiving, at a fraud detection platform, IP address data being used for viewing one or more advertisements published on at least one publisher on one or more media devices;
classifying, at the fraud detection platform, the IP address data into a plurality of classes, wherein the classification is done based on a plurality of third party databases and device data of the one or more media devices collected from a plurality of sources;
segregating, at the fraud detection platform, the IP address data based on traffic at the IP address, the segregation is done to identify the traffic at the IP address being normal traffic or abnormal traffic, wherein the segregation is done in real time;
analyzing, at the fraud detection platform, the abnormal traffic based on a plurality of parameters and the IP address data, wherein the analysis is done after segregating the IP address based on traffic at the IP address, wherein the analysis is done when a signal generator circuitry embedded inside the one or more media devices generates a signal to trigger one or more hardware components of the one or more media devices;
scoring, at the fraud detection platform, each of the IP address from the IP address data based on the analysis of the abnormal traffic; and
allocating, at the fraud detection platform, the IP address into blacklist when score exceeds threshold limit, wherein the allocation is done in real time.
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Abstract
The present disclosure provides a method and system to detect advertisement fraud. The system receives the IP address data which is being used for viewing one or more advertisements published on at least one publisher on one or more media devices. In addition, the system classifies the IP address data into a plurality of classes. Further, the system analyzes abnormal traffic based on a plurality of parameters and the IP address data. Moreover, the system allocates the IP address into a blacklist when score exceeds threshold limit.
6 Citations
17 Claims
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1. A computer system comprising:
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one or more processors; and a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for detecting advertisement fraud based on IP address, the method comprising; receiving, at a fraud detection platform, IP address data being used for viewing one or more advertisements published on at least one publisher on one or more media devices; classifying, at the fraud detection platform, the IP address data into a plurality of classes, wherein the classification is done based on a plurality of third party databases and device data of the one or more media devices collected from a plurality of sources; segregating, at the fraud detection platform, the IP address data based on traffic at the IP address, the segregation is done to identify the traffic at the IP address being normal traffic or abnormal traffic, wherein the segregation is done in real time; analyzing, at the fraud detection platform, the abnormal traffic based on a plurality of parameters and the IP address data, wherein the analysis is done after segregating the IP address based on traffic at the IP address, wherein the analysis is done when a signal generator circuitry embedded inside the one or more media devices generates a signal to trigger one or more hardware components of the one or more media devices; scoring, at the fraud detection platform, each of the IP address from the IP address data based on the analysis of the abnormal traffic; and allocating, at the fraud detection platform, the IP address into blacklist when score exceeds threshold limit, wherein the allocation is done in real time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-implemented method for detecting advertisement fraud based on IP address, the computer-implemented method comprising:
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receiving, at a fraud detection platform with a processor, IP address data being used for viewing one or more advertisements published on at least one publisher on one or more media devices; classifying, at the fraud detection platform with the processor, the IP address data into a plurality of classes, wherein the classification is done based on a plurality of third party databases and device data of the one or more media devices collected from a plurality of sources; segregating, at the fraud detection platform with the processor, the IP address data based on traffic at the IP address, the segregation is done to identify the traffic at the IP address being normal traffic or abnormal traffic, wherein the segregation is done in real time; analyzing, at the fraud detection platform with the processor, the abnormal traffic based on a plurality of parameters and the IP address data, wherein the analysis is done after segregating the IP address based on traffic at the IP address, wherein the analysis is done when a signal generator circuitry embedded inside the one or more media devices generates a signal to trigger one or more hardware components of the one or more media devices; scoring, at the fraud detection platform with the processor, each of the IP address from the IP address data based on the analysis of the abnormal traffic; and allocating, at the fraud detection platform with the processor, the IP address into blacklist when score exceeds threshold limit, wherein the allocation is done in real time. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer-readable storage medium encoding computer executable instructions that, when executed by at least one processor, performs a method for detecting advertisement fraud based on IP address, the method comprising:
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receiving, at a computing device, IP address data being used for viewing one or more advertisements published on at least one publisher on one or more media devices; classifying, at the computing device, the IP address data into a plurality of classes, wherein the classification is done based on a plurality of third party databases and device data of the one or more media devices collected from a plurality of sources; segregating, at the computing device, the IP address data based on traffic at the IP address, the segregation is done to identify the traffic at the IP address being normal traffic or abnormal traffic, wherein the segregation is done in real time; analyzing, at the computing device, the abnormal traffic based on a plurality of parameters and the IP address data, wherein the analysis is done after segregating the IP address based on traffic at the IP address, wherein the analysis is done when a signal generator circuitry embedded inside the one or more media devices generates a signal to trigger one or more hardware components of the one or more media devices; scoring, at the computing device, each of the IP address from the IP address data based on the analysis of the abnormal traffic; and allocating, at the computing device, the IP address into blacklist when score exceeds threshold limit, wherein the allocation is done in real time.
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Specification