Sociocultural Influences for Password Definition: An AI-based Study

Carlos Ocanto Dávila, Rocío Cabrera Lozoya, Slim Trabelsi

Abstract

Most of the research that analyses password security has been developed targeting English-speaking users. In this work, we present a framework for password segmentation, semantic classification, and clustering, in a multilingual context. This research uses natural language processing, statistical and deep learning techniques to obtain and leverage semantic patterns for password definition. Using the methods proposed in this work in password-guessing models produce over a 10% increase with respect to state-of-the-art methods (with a guessing space limited to 500 million predictions) on a dataset of leaked credentials.

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Paper Citation


in Harvard Style

Ocanto Dávila C., Cabrera Lozoya R. and Trabelsi S. (2021). Sociocultural Influences for Password Definition: An AI-based Study.In Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-491-6, pages 542-549. DOI: 10.5220/0010269305420549


in Bibtex Style

@conference{icissp21,
author={Carlos Ocanto Dávila and Rocío Cabrera Lozoya and Slim Trabelsi},
title={Sociocultural Influences for Password Definition: An AI-based Study},
booktitle={Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2021},
pages={542-549},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010269305420549},
isbn={978-989-758-491-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Sociocultural Influences for Password Definition: An AI-based Study
SN - 978-989-758-491-6
AU - Ocanto Dávila C.
AU - Cabrera Lozoya R.
AU - Trabelsi S.
PY - 2021
SP - 542
EP - 549
DO - 10.5220/0010269305420549