Method and system for identifying false traffic of mobile video advertisement

Abstract

The invention discloses a method and system for identifying false traffic of mobile video advertisements, relating to the field of mobile internet advertisements. The system for identifying the false traffic of the mobile video advertisements comprises a receiving module, a feature extraction module, a feature matching module and a traffic counterfeiting feature database. The method for identifying the false traffic of the mobile video advertisements comprises the following steps: the receiving module receives the software and hardware information of a terminal device and the snapshot information of multiple play progress points; the feature extraction module converts the software and hardware information of the terminal device and the snapshot information of the multiple play progress points to certain features, and transmits the certain features to the feature matching module for analysis and matching; and the feature matching module searches the data which is matched with the certain features from the traffic counterfeiting feature database, and implements analysis and detection on the data to judge whether the traffic is false traffic. The method and system disclosed by the invention have the advantages of detecting a variety of dimensions and combinations, optimizing the information in the traffic counterfeiting feature database, and increasing the identification accuracy of the false traffic.

Description

technical field [0001] The invention relates to the field of mobile Internet advertisements, in particular to a method and system for identifying fake amounts of mobile video advertisements. Background technique [0002] The development of the times has promoted the progress of society. The Internet portal in the PC era is a browser. Under the current blowout development of mobile Internet, mobile terminal devices have gradually become the mainstream Internet entrance. [0003] APP advertisements, that is, advertisements with APP as the carrier, are advertisements played by end users when they use the APP installed on their mobile terminals. This form of advertising has been favored by more and more advertisers. At first, limited by the mobile network environment, the form of APP advertisements was mainly graphic advertisements. With the popularization of WIFI and 4G networks, mobile video advertisements in the form of video are gradually gaining popularity. Video ads have...

AI Technical Summary

Problems solved by technology

[0010] 1. The source of data is single, and only a few limited data such as IP, terminal device number or terminal mobile phone number are used to identify fake traffic. Traffic counterfeiters can easily pass the screening by tampering with hardware information, resulting in low screening accuracy;

[0011] 2. The feature recognition basis is relatively isolated, relying only on the blacklist matching method of IP, terminal device number or terminal mobile phone number, it cannot effectively form a multi-level feature combination;

[0012] 3. The technology is blunt, and the blacklist library can only be continuously expanded, and the space for optimization is insufficient

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