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This project explores the development of a sophisticated link analysis tool aimed at tackling fraud in telecommunications. The system allows for in-depth data traffic analysis and visual representation of subscriber interactions, aiding in the identification and management of fraudulent activities. With a focus on personalized functionality, our tool integrates with existing Fraud Management Systems (FMS) and provides visualizations such as clickable graphs and activity matrices for enhanced analysis. The project encompasses a diverse team committed to delivering an effective software solution.
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Link Analysis Tool Team and Project Vision Adrien Olivier Dominik Rojković Hassan Aziz Khan Petar ButkovićPetar DučićRashid KhanSeyed Morteza Hosseini
Contents • Team Members • Introduction • Problem Statement • Project Overview • System Architecture • Project Scope
Team Members • Adrien Olivier • Rashid Khan • Seyed Morteza Hosseini • Hassan Aziz Khan (Team Leader) • Petar Butković • Petar Dučić • Dominik Rojković (Project Leader)
Introduction • Fraud • Financial Loss • Impact on Telecommunication Companies • Fraud Management System (FMS)
Problem Statement • To develop a tool for link analysis • Basic and Personalized Functionality • Integration with FMS
Project Overview • Complete Analysis of Data Traffic • Visual Representation of Subscribers • OS – UNIX • SQL, Postgresql etc • Web Server – Apache
Project Scope • Link Analysis over fixed period of time • Controlled Search Depth • Visualize Transactions • Zoom able/click able graph • Colored links • Activity Matrix