Adaptation of password strength estimators to a non-English environment—the Czech experience. Issue 95 (August 2020)
- Record Type:
- Journal Article
- Title:
- Adaptation of password strength estimators to a non-English environment—the Czech experience. Issue 95 (August 2020)
- Main Title:
- Adaptation of password strength estimators to a non-English environment—the Czech experience
- Authors:
- Doucek, Petr
Pavlíček, Luboš
Sedláček, Jiří
Nedomová, Lea - Abstract:
- Abstract: Passwords are among the most commonly used methods of user authentication. Password strength estimators can significantly help users to choose passwords of reasonable strength. These estimates are, however, useful for end users and administrators only in those cases where they provide sufficiently precise password strength estimations. Tools for estimating password strength have mainly been tested against English, or in some cases Chinese or other widespread and global languages. Only very few studies can be found in the literature regarding how to adapt these tools for other, less widespread languages, and what results are produced by so adapted tools. This article presents the approach and reports the results of adapting the zxcvbn estimation engine for the Czech and Slovak languages. The results of this work – an adapted version of zxcvbn (including various dictionaries) – are available for download on GitHub as open-source software. For testing password strength estimation quality, we used a large set of leaked passwords from the Czech environment (approx. 3.1 million passwords), which we divided up into 12 categories. The main results are: (1) The password strength estimation improved for all 12 of the categories. (2) The overall size of zxcvbn did not increase significantly, thanks to adjustments and optimizations of both the original English dictionaries and the newly added Czech and Slovak ones. (3) The speed of operation increased by 4 to 12% depending onAbstract: Passwords are among the most commonly used methods of user authentication. Password strength estimators can significantly help users to choose passwords of reasonable strength. These estimates are, however, useful for end users and administrators only in those cases where they provide sufficiently precise password strength estimations. Tools for estimating password strength have mainly been tested against English, or in some cases Chinese or other widespread and global languages. Only very few studies can be found in the literature regarding how to adapt these tools for other, less widespread languages, and what results are produced by so adapted tools. This article presents the approach and reports the results of adapting the zxcvbn estimation engine for the Czech and Slovak languages. The results of this work – an adapted version of zxcvbn (including various dictionaries) – are available for download on GitHub as open-source software. For testing password strength estimation quality, we used a large set of leaked passwords from the Czech environment (approx. 3.1 million passwords), which we divided up into 12 categories. The main results are: (1) The password strength estimation improved for all 12 of the categories. (2) The overall size of zxcvbn did not increase significantly, thanks to adjustments and optimizations of both the original English dictionaries and the newly added Czech and Slovak ones. (3) The speed of operation increased by 4 to 12% depending on the version of the dictionaries used. (4) Besides the direct results for Czech and Slovak, the method described in the article can be utilized as a methodology for adapting zxcvbn for other less-widespread European languages. … (more)
- Is Part Of:
- Computers & security. Issue 95(2020)
- Journal:
- Computers & security
- Issue:
- Issue 95(2020)
- Issue Display:
- Volume 95, Issue 95 (2020)
- Year:
- 2020
- Volume:
- 95
- Issue:
- 95
- Issue Sort Value:
- 2020-0095-0095-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08
- Subjects:
- User authentication -- Strength of password -- Password strength estimators -- Security -- Dictionary attack
Computer security -- Periodicals
Electronic data processing departments -- Security measures -- Periodicals
005.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01674048 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cose.2020.101757 ↗
- Languages:
- English
- ISSNs:
- 0167-4048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.781000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13518.xml