Talkingdata adtracking fraud detection challenge | |
| Author | Kumar,Gudapuri Nikhil |
| Call Number | AIT RSPR no.ICT-21-01 |
| Subject(s) | Machine Learning Fraud--Detection Data mining--Computer programs |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Fraudulent clicks is one of the major issues that internet advertise companies are facing. The inefficiency due to this fraud clicks are one of the critical issue that effects advertiser’s revenue. This results to affect the other players who rely on these publishers who pay less to advertise on various platforms. TalkingData manages to receive around 3 billion advertisement clicks every day and 90% of them are potentially fraudulent clicks. This is the issue which we are trying to solve by filtering and distancing out fraud clicks vs reliable clicks every second. The goal of this project is to create a Machine Learning algorithm that identifies and distinguishes fraud clicks by creating a patterns/Fingerprint using various attributes such as IP, app id, device id, OS Id, and channel id. After analyzing the data, we can distinguish unusual clicks recurring from the same fingerprint without downloading mobile applications, it will be flagged as a fraudulent click. We will feature the provided dataset and apply various Machine Learning algorithm and compare them. |
| Year | 2021 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Teerapat Sanguankotchakorn |
| Examination Committee(s) | Bohez, Erik L. J.;Nicole, Olivier |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2021 |