Developing An Ml-based Solution To Refine Captcha For Uidai

Abstract

Traditional CAPTCHA Systems, While Effective In Deterring Basic Automated Threats, Often Create A Cumbersome User Experience And Are Increasingly Susceptible To Modern AI- Driven Attacks. This Paper Presents A Machine Learning (ML)- Driven Passive CAPTCHA Alternative Specifically Designed For The Unique Identification Authority Of India (UIDAI) Portals. By Passively Collecting Environmental And Behavioral Data—such As Mouse Dynamics, Keystroke Patterns, Device Fingerprints, And Net- Work Indicators—our Proposed Solution Leverages Backend ML Models To Assess User Authenticity In Real-time. The Architecture Promotes Minimal User Interaction, Seamless Integration With UIDAI Infrastructure, And Robust Security Against DoS/DDoS Threats, All While Upholding Strict Privacy Guidelines.

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