Detecting coalition attacks in online advertising: A hybrid data mining approach

Abstract

Coalition attack is nowadays one of the most common type of attacks in the industry of online advertising. In this paper, we attempt to mitigate the problem of frauds by proposing a hybrid framework that detects the coalition attacks based on multiple metrics. We also articulate the theoretical basis for these metrics to be integrated into the hybrid framework. Furthermore, we instance the framework with two metrics and develop a detection system that identifies the coalition attacks from two distinguish perspectives.

Human-computer interaction emotional design and innovative cultural and creative product design

“…How to obtain valuable knowledge and hidden information by mining Web documents and services, and provide information services that facilitate people’s lives and work on this basis has become an urgent need for people. Web data mining is a technology produced in this context ( Feng and Zhang, 2017 ).…”