passwords and reveals that: (1) the vulnerable portion of user- chosen passwords (i.e., popular passwords with a frequency f ≥ 4) naturally follow a Zipf-distribution; and (2) the remaining portion of user-chosen passwords (i.e., unpopular passwords with a frequency f ≤ 3) are highly likely to follow a Zipf- ...
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Aug 21, 2014 · In this work, we make a substantial step forward in understanding the distributions of passwords and measuring the strength of password datasets ...
Jun 28, 2017 · Despite three decades of intensive research efforts, it remains an open question as to what is the underlying distribution of user-generated ...
This theory has already been successfully adopted into the “GenoGuard” genome cryptosystem [21] and “CASH” password hash scheme [7]. It implies that the ...
May 18, 2022 · In this paper, we address their remaining, fundamental goodness-of-fit issue of password distribution in a principled approach. First, we prove ...
The method is simple to describe: it randomly partitions a dataset of size N into m subsets of equal size, computes an independent kernel ridge regression ...
Jun 2, 2019 · The same can be done for the passwords. The Zipf's law holds for almost 1 million of the most frequent passwords (this obviously is an ...
This paper proposes two Zipf-like models (i.e., PDF-Zipf and CDF- Zipf) to characterize the distribution of passwords and suggests a new metric for ...
Abstract—Despite three decades of intensive research, textual passwords are still enveloped in mysterious veils. It remains an.
The proposed scheme provides fine-grained access control, prevents applications from accessing unauthorized functions. Meanwhile, the cost of each access ...