Using hash visualization for real-time user-governed password validation
Zusammenfassung
Building upon work by Perrig & Song [21], we propose a novel hash visualization algorithm and examine its usefulness for user-governed password validation in real time. In contrast to network-based password authentication and the best practices for security which have been developed with that paradigm in mind, we are concerned with use cases that require user-governed password validation in nonnetworked untrusted contexts, i.e. to allow a user to verify that they have typed their password correctly without ever storing a record of the correct password between sessions (not even a hash). To that end, we showcase a newly designed hash visualization algorithm named MosaicVisualHash and describe how hash visualization algorithms can be used to perform user-governed password validation. We also provide a set of design recommendations for systems where hash visualization for password validation is performed in real time, i.e. as the user is in the process of typing their password.
- Vollständige Referenz
- BibTeX
Fietkau, J. & Balthasar, M.,
(2019).
Using hash visualization for real-time user-governed password validation.
Mensch und Computer 2019 - Workshopband.
Bonn:
Gesellschaft für Informatik e.V..
DOI: 10.18420/muc2019-ws-302-04
@inproceedings{mci/Fietkau2019,
author = {Fietkau, Julian AND Balthasar, Mandy},
title = {Using hash visualization for real-time user-governed password validation},
booktitle = {Mensch und Computer 2019 - Workshopband},
year = {2019},
editor = {} ,
doi = { 10.18420/muc2019-ws-302-04 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Fietkau, Julian AND Balthasar, Mandy},
title = {Using hash visualization for real-time user-governed password validation},
booktitle = {Mensch und Computer 2019 - Workshopband},
year = {2019},
editor = {} ,
doi = { 10.18420/muc2019-ws-302-04 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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|---|---|---|---|---|
| 302-04.pdf | 1.412Mb | Öffnen |
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Mehr Information
Datum: 2019
Sprache:
(en)
(en)
Typ: Text/Conference Poster
Keywords
Sammlungen
- Workshopband MuC 2019 [137]

