@inproceedings{eb5008f2c9f642c192d059cc585f4fac,
title = "PCWQ: a framework for evaluating password cracking wordlist quality",
abstract = "The persistence of the single password as a method of authentication has driven both the efforts of system administrators to nudge users to choose stronger, safer passwords and elevated the sophistication of the password cracking methods chosen by their adversaries. In this constantly moving landscape, the use of wordlists to create smarter password cracking candidates begs the question of whether there is a way to assess which is better. In this paper, we present a novel modular framework to measure the quality of input wordlists according to several interconnecting metrics. Furthermore, we have conducted a preliminary analysis where we assess different input wordlists to showcase the framework{\textquoteright}s evaluation process.",
keywords = "Contextual information, Dictionary, Password cracking, Wordlist",
author = "Aikaterini Kanta and Iwen Coisel and Mark Scanlon",
note = "Publisher Copyright: {\textcopyright} 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 12th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2021 ; Conference date: 06-12-2021 Through 09-12-2021",
year = "2022",
month = jun,
day = "4",
doi = "10.1007/978-3-031-06365-7_10",
language = "English",
isbn = "9783031063640",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Nature",
pages = "159--175",
editor = "Pavel Gladyshev and Sanjay Goel and Joshua James and George Markowsky and Daryl Johnson",
booktitle = "Digital Forensics and Cyber Crime - 12th EAI International Conference, ICDF2C 2021, Proceedings",
address = "United Kingdom",
}