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Authors: Agnieszka Rucka and Wojciech Wodo

Affiliation: Department of Fundamentals of Computer Science, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, Wroclaw, Poland

Keyword(s): Password, Password Meter, Password Strength, Security, LPSE, PCFG, zxcvbn.

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 me thodological differences) and draw final conclusions. (More)

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Paper citation in several formats:
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 - ICISSP; ISBN 978-989-758-553-1; ISSN 2184-4356, SciTePress, pages 255-263. DOI: 10.5220/0010766900003120

@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 - ICISSP},
year={2022},
pages={255-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010766900003120},
isbn={978-989-758-553-1},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP
TI - On the LPSE Password Meter’s Discrepancies among Different Datasets
SN - 978-989-758-553-1
IS - 2184-4356
AU - Rucka, A.
AU - Wodo, W.
PY - 2022
SP - 255
EP - 263
DO - 10.5220/0010766900003120
PB - SciTePress