Given a password our estimator generates an upper and lower bound with the guarantee that, except with probability δ, the true guessing number lies within the ...

Abstract—In password security a defender would like to identify and warn users with weak passwords. Similarly, the defender may also want to predict what ...

Given a password our estimator generates an upper and lower bound with the guarantee that, except with probability δ, the true guessing number lies within the ...

Duration: 15:20
Posted: Jun 23, 2023

In this paper, we develop a Monte Carlo method for estimating additional coefficients by randomly sampling over spanning trees of the network. Confidence ...

This course teaches learners how to perform a rigorous analysis of guessing curves for probabilistic password models using Confident Monte Carlo.

Password Hashing and Memory Hard Functions. Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models.

ConfidentMonteCarlo / ConfidentMonteCarlo Public. Notifications · Fork 1 · Star 1 · Code · Issues 0 · Pull requests 0 · Actions · Projects 0 · Security ...

pdf is the full version of IEEE S&P 2023 conference paper Confident monte carlo: Rigorous analysis of guessing curves for probabilistic password models with ...

We develop two techniques to obtain high confidence upper bounds on the guessing curve of an ideal attacker using the empirical password distribution and linear.