Authentication Prediction Dataset Using Click Patterns and Persuasive Cued Click Point

This dataset contains 3000 records simulating user authentication attempts using click-based graphical passwords. It includes variables such as number of clicks, sequence length, success/failure rates, authentication methods (Draw-based, Pattern-based), and image category features (Animals, Grid, Landmarks, Letters, Nature, Numbers, Shapes, Symbols). The dataset supports research on authentication prediction using classical machine learning models and Persuasive Cued Click Point (PCCP) techniques.