BotSpot: A Hibrid Learning Framework to Uncover Bot Install In Mobile Advertising

Mobile advertising has become inarguably one of the fastest growing industries all over the world. The influx of capital attracts increasing fraudsters to defraud money from advertisers. In this work, we propose an anti-fraud method based on heterogeneous graph that incorporates both local context and global context via graph neural networks(GNN) and gradient boosting classifier to detect bot fraud installs at Mobvista.