Implementation And Optimization Of SNS ADS Anti-Fraud System

With the continuous development of Internet technology, online advertising is currently the greatest source of revenue for many Internet giants. The increased number of specialized websites and modern profiling techniques have all contributed to an explosion of the income of online advertising. However, hidden in the huge interest, frauder means emerge in an endless stream. Trained botnets and even individuals are hired in order to increasing ad traffic, intervening advertisement data maliciously and falsifying data, which brought very bad influence to the entire Internet advertising ecological system and had become a great threat to the development of Internet advertising. Through the detection and prevention against ad fraud, anti-fraud plays an important role in protecting the interests of network media, advertisers, ad networks and users.In this paper, based on the research of the Internet ads and social network site ads, we analyzed the fact of internet ads fraud in recent years and researched common anti-fraud strategies. Using various techniques and programing languages, we designed and implemented advertising anti-fraud system in SNS. This system includes realtime anti-fraud system and offline anti-fraud system and apply multiple anti-fraud strategies. By docking with SNS advertising platform, this anti-fraud system help advertisers enhance the effectiveness of ads, improve the return on investment and promote the value of advertising platform. With further study, we addressed innovative anti-fraud strategy. This strategy applied to ads anti-fraud system, brought about better effect of ads anti-fraud in click-fraud and lower probability of misjudging ads fraud.