An Intelligent System for Ad Click Fraud Detection using Hybrid Deep Learning and Ensemble Techniques

B.Anjali1, Dr. S. THULASEE KRISHNA2,
1P.G Scholar, Department of CSE, Sree Rama Engineering College, Tirupati, Andhra Pradesh, India,anjalib390@gmail.com
2Professor, Department of Computer Science & Engineering, Sree Rama Engineering College, Tirupati,Andhra Pradesh, India, thulasikrishna1988@gmail.com

Abstract - This research addresses the critical challenge of fraudulent ad clicks in mobile advertising, which causes massive financial losses for advertisers and skews campaign performance analytics. We propose an intelligent, adaptive framework that distinguishes between genuine and fraudulent clicks by leveraging both high precision Machine Learning models and sequential Deep Learning architectures. Themethodology utilizes thelarge-scale TalkingData dataset, employing feature  engineering to extract temporal patterns.Keywords: Ad Click Fraud, Stacking Classifier, LSTM, XGBoost, Deep Learning, Flask.