Research Papers Library

An alert system to avoid financial fraud

In the modern information society online transactions are an important part of our daily lives. In this work we present an alert system that determines the current threat level of financial fraud in the internet. We use data from different sources and off-the-shelf machine learning algorithms to compute the current threat level. Based on the threat level our alert system issues alerts to raise users awareness of current attack vectors. We tested our approaches with real world online banking frauds. Our preliminary results suggest that this mechanisms can be effectively used to warn users about the current threat situation and therefore help avoiding financial fraud.

Download PDF

Get Exclusive Research Tips in Your Inbox

Receive Great tips via email, enter your email to Subscribe.
Please wait

airs logo

Association of Internet Research Specialists is the world's leading community for the Internet Research Specialist and provide a Unified Platform that delivers, Education, Training and Certification for Online Research.

Newsletter Subscription

Receive Great tips via email, enter your email to Subscribe.
Please wait

Follow Us on Social Media