Project Overview

MIMER: Advancing AI-Powered Identity Protection in Digital Banking

An EPSRC UK-funded initiative bringing together international expertise to combat digital banking fraud through advanced artificial intelligence. The "Mitigating Presentation Attacks in Remote Identity Proofing (MIMER)" project represents a strategic collaboration between the University of Glasgow (Lead PI: Dr. Ahmed Zoha), UET Taxila (Co-PIs: Dr. Muhammad Haroon Yousaf, Dr. Junaid Mir, Dr. Ali Javed), and industry partner STech.ai.

This two-year project addresses one of the most critical challenges in modern banking: the surge in sophisticated identity fraud. As deepfakes and synthetic identities become more advanced, MIMER develops cutting-edge AI solutions to strengthen remote identity verification systems. The project focuses on creating robust, adaptable AI models that can detect and prevent fraudulent attempts in real-time, enhancing security across digital banking platforms.

By combining academic research excellence with industry expertise, MIMER aims to pioneer new standards in banking security and contribute to the global effort in safeguarding digital financial services. The project's innovations will help financial institutions worldwide protect their customers while maintaining seamless remote banking experiences.

Key Features

• Advanced SSL Anti-spoofing Model

  Utilizes state-of-the-art machine learning to detect synthetic voices

• Real-time Audio Analysis

  Processes and analyzes audio files instantly with detailed feedback

• Interactive Visualization

  Visual representation of audio features and confidence scores

• Robust Detection System

  Multi-feature analysis for accurate authenticity assessment

How It Works