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Password Visualization beyond Password Masking

  • When entering a password (or other secrets) the typed input is most commonly masked, i.e. the characters are hidden behind bullets or asterisks. This, however, complicates the input and highly decreases the user's confident causing several issues such as login failure attempts. On the other hand, password masking is an important security requirement for a lot of applications and contexts to prevent a third person to read the password. Thus, simply dropping password masking is not feasible in general. A common solution provides the user with the choice of toggling password masking on and off, but due to distinct defaults (in dependency of the application and context) this is rather complex and confusing. Enhanced password visualization technologies beyond the simple masking of passwords can provide more sophisticated solutions from both a usability and security perspective. In this paper, available password visualization technologies are presented and discussed. Furthermore a novel password visualization approach is introduced, the TransparentMask, which provides unique properties in comparison to the existing schemes. Amongst these are the ability to detect mistakes while typing and being able to localize and correct the typo within a certain range. Finally, a security analysis of the TransparentMask shows that the protection level given by a certain password length is slightly decreased in comparison to the fully masked approach.

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Metadaten
Document Type:Conference Object
Language:English
Author:Nils Gruschka, Luigi Lo Iacono
Parent Title (English):Eighth International Network Conference (INC 2010), Heidelberg, Germany, July 6-8, 2010. Proceedings
Number of pages:10
First Page:179
Last Page:188
ISBN:978-1-84102-259-8
URL:https://www.cscan.org/?page=openaccess&eid=2&id=111
Publisher:CSCAN
Place of publication:Plymouth
Publication year:2010
Keyword:Password Masking; Password Visualization; Passwords
Departments, institutes and facilities:Institut für Cyber Security & Privacy (ICSP)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 005 Computerprogrammierung, Programme, Daten
Entry in this database:2021/07/27