MOSIP Research Platform - Integrating Anomaly Detection Prototypes into Centralized ID Systems

Explore a demonstration of the Turing project's Trustworthy Digital Identity Infrastructure, focusing on integrating a novel anomaly detection prototype into the MOSIP architecture. Learn about the team's approach to increasing trust in identity systems through the use of autoencoders for detecting potential fraud during the registration stage. Discover the research platform, real-time governance, and the challenges faced in implementing this technology. Gain insights into the application of the model on credit card data, visualization techniques, and its adaptation for real-time data analytics. Witness the integration process with the MOSIP sandbox, including simulations of regular and anomalous pre-registration sessions. Conclude with a demonstration of the integrated system and explore future prospects in this 47-minute video presented by the Alan Turing Institute.

Intro
Approach and objectives
Research platform
Real time governance
What are anomalies?
Applications
Challenges
Testing on credit card data
Visualising models in 2D
Model for real-time data analytics
MOSIP sandbox
Regular pre-registration session
Simulating pre-registration sessions
Anomalous pre-registration Session
Integration with MOSIP Reporting
Demonstration
Summary
Looking forward