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The pattern-richness of graphical passwords

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dc.contributor.author Vorster, JS
dc.contributor.author Van Heerden, Renier P
dc.contributor.author Irwin, B
dc.date.accessioned 2017-07-28T09:11:27Z
dc.date.available 2017-07-28T09:11:27Z
dc.date.issued 2016-08
dc.identifier.citation Vorster, J.S., Van Heerden, R.P. and Irwin, B. 2016. The pattern-richness of graphical passwords. 15th International Information Security South Africa Conference, 17-18 August 2016, Rosebank, Johannesburg, South Africa, DOI: 10.1109/ISSA.2016.7802931 en_US
dc.identifier.isbn 978-1-5090-2473-5
dc.identifier.uri http://ieeexplore.ieee.org/document/7802931/
dc.identifier.uri DOI: 10.1109/ISSA.2016.7802931
dc.identifier.uri http://hdl.handle.net/10204/9389
dc.description Copyright: 2016 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the published version. For access to the published version, kindly consult the publisher's website. en_US
dc.description.abstract Conventional (text-based) passwords have shown patterns such as variations on the username, or known passwords such as ”password”, ”admin” or ”12345”. Patterns may similarly be detected in the use of Graphical passwords (GPs). The most significant such pattern – reported by many researchers – is hotspot clustering. This paper qualitatively analyses more than 200 graphical passwords for patterns other than the classically reported hotspots. The qualitative analysis finds that a significant percentage of passwords fall into a small set of patterns; patterns that can be used to form attack models against GPs. In counter action, these patterns can also be used to educate users so that future password selection is more secure. It is the hope that the outcome from this research will lead to improved behaviour and an enhancement in graphical password security. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;17527
dc.subject Information security en_US
dc.subject Graphical passwords en_US
dc.subject Password patterns en_US
dc.subject User authentication en_US
dc.subject User studies en_US
dc.title The pattern-richness of graphical passwords en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Vorster, J., Van Heerden, R. P., & Irwin, B. (2016). The pattern-richness of graphical passwords. IEEE. http://hdl.handle.net/10204/9389 en_ZA
dc.identifier.chicagocitation Vorster, JS, Renier P Van Heerden, and B Irwin. "The pattern-richness of graphical passwords." (2016): http://hdl.handle.net/10204/9389 en_ZA
dc.identifier.vancouvercitation Vorster J, Van Heerden RP, Irwin B, The pattern-richness of graphical passwords; IEEE; 2016. http://hdl.handle.net/10204/9389 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Vorster, JS AU - Van Heerden, Renier P AU - Irwin, B AB - Conventional (text-based) passwords have shown patterns such as variations on the username, or known passwords such as ”password”, ”admin” or ”12345”. Patterns may similarly be detected in the use of Graphical passwords (GPs). The most significant such pattern – reported by many researchers – is hotspot clustering. This paper qualitatively analyses more than 200 graphical passwords for patterns other than the classically reported hotspots. The qualitative analysis finds that a significant percentage of passwords fall into a small set of patterns; patterns that can be used to form attack models against GPs. In counter action, these patterns can also be used to educate users so that future password selection is more secure. It is the hope that the outcome from this research will lead to improved behaviour and an enhancement in graphical password security. DA - 2016-08 DB - ResearchSpace DP - CSIR KW - Information security KW - Graphical passwords KW - Password patterns KW - User authentication KW - User studies LK - https://researchspace.csir.co.za PY - 2016 SM - 978-1-5090-2473-5 T1 - The pattern-richness of graphical passwords TI - The pattern-richness of graphical passwords UR - http://hdl.handle.net/10204/9389 ER - en_ZA


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