Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models
Engineers explore architecture and security mechanisms for Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models.
Summary
No summary yet — watch the video above, or open it on YouTube.
Related talks
IEEE Symposium on Security and Privacy·14 min
Security researchers examine technical aspects of Towards a Rigorous Statistical Analysis of Empirical Password Datasets.
statistical-analysisrigoroustatistical+2
IEEE Symposium on Security and Privacy·15 min
Analysts investigate attack surfaces and defenses concerning HackEd: A Pedagogical Analysis of Online Vulnerability Discovery Exercises.
vulnerability-discoveryhackedpedagogical+3
IEEE Symposium on Security and Privacy·14 min
Security researchers examine technical aspects of Improving Password Guessing via Representation Learning.
improvingpasswordguessing+2


