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Towards improving mental models of personal firewall users
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Spotlight on work in progress session 2 table of contents
Pages 4633-4638  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Fahimeh Raja  University of British Columbia, Vancouver, BC, Canada
Kirstie Hawkey  University of British Columbia, Vancouver, BC, Canada
Konstantin Beznosov  University of British Columbia, Vancouver, BC, Canada
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Windows Vista's personal firewall provides its diverse users with a basic interface that hides many operational details. However, our study of this interface revealed that concealing the impact of network context on the security state of the firewall results in mental models that are unclear about the protection provided by the firewall resulting in an inaccurate understanding of the firewall configuration. We developed a prototype to support more contextually complete mental models through inclusion of network context information. Results from our initial evaluation of the prototype support our approach of improving user understanding of underlying system states by revealing hidden context, while considering the tension between complexity of the interface and security of the system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Chiasson, S., van Oorschot, P. C., and Biddle, R. Even experts deserve usable security: Design guidelines for security management systems. In USM 2007, 4 pages.
 
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Edwards, W. K., Shehan, E., Stoll, J. Security Automation Considered Harmful? In NSPW '07 (2007).
 
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Windows Vista Help: Choosing a network location.
 
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Collaborative Colleagues:
Fahimeh Raja: colleagues
Kirstie Hawkey: colleagues
Konstantin Beznosov: colleagues