Confident Monte Carlo - Rigorous Analysis of Guessing Curves for Probabilistic Password Models

Explore a rigorous analysis of guessing curves for probabilistic password models in this 15-minute IEEE conference talk. Delve into the concept of Confident Monte Carlo as presented by researchers from Purdue University. Learn about the innovative approach to analyzing password security and its implications for cybersecurity practices. Gain insights into how this method can provide more accurate assessments of password strength and vulnerability to guessing attacks. Understand the potential applications of this research in improving password policies and enhancing overall system security.

Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models