On the LPSE Password Meter’s Discrepancies among Different Datasets

Agnieszka Rucka, Wojciech Wodo

2022

Abstract

The global dataset constantly grows, along with the number of online accounts. More and more data breaches occur, putting users’ data at risk. At the same time, users still commonly choose weak passwords. It has been shown that password strength meters can contribute to better user choices. As the problem of password strength estimation is nontrivial, a number of solutions have been proposed. One of them is the LPSE (Guo and Zhang, 2018), which, according to its authors, shows very promising performance. However, we observed a significantly worse performance of LPSE in a different dataset. In this paper we present an extensive investigation of these discrepancies. We describe our recreation of the original experiment and confront the obtained results with the original. We analyze the data distribution in our dataset, and compare performance of the LPSE with the widely known lightweight password meter zxcvbn. Lastly, we discuss possible reasons for observed discrepancies (including methodological differences) and draw final conclusions.

Paper Citation

in Harvard Style

Rucka A. and Wodo W. (2022). On the LPSE Password Meter’s Discrepancies among Different Datasets. In Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-553-1, pages 255-263. DOI: 10.5220/0010766900003120

in Bibtex Style

@conference{icissp22,
author={Agnieszka Rucka and Wojciech Wodo},
title={On the LPSE Password Meter’s Discrepancies among Different Datasets},
booktitle={Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2022},
pages={255-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010766900003120},
isbn={978-989-758-553-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - On the LPSE Password Meter’s Discrepancies among Different Datasets
SN - 978-989-758-553-1
AU - Rucka A.
AU - Wodo W.
PY - 2022
SP - 255
EP - 263
DO - 10.5220/0010766900003120