Beyond Turing Tests: Behavioral Biometrics for Robust Bot Detection

Traditional CAPTCHAs like reCAPTCHA v3 have proven ineffective against AI agents operating within real browser environments. This paper introduces a novel bot detection approach leveraging behavioral biometrics, analyzing patterns in keystroke dynamics, mouse movements, and cognitive behaviors to distinguish humans from bots. The research demonstrates that human behavior exhibits unique irregularities difficult for AI to replicate, while bots show predictable patterns. Interactive demos and cognitive psychology experiments (like the Stroop effect) illustrate the method's effectiveness and robustness, highlighting the economic challenges for bots to comprehensively mimic human cognitive processes. This offers a privacy-preserving alternative for cybersecurity, shifting the challenge to replicating the full spectrum of natural human cognition.