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Improving security decisions with polymorphic and audited dialogs
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ACM International Conference Proceeding Series; Vol. 229 archive
Proceedings of the 3rd symposium on Usable privacy and security table of contents
Pittsburgh, Pennsylvania
SESSION: Training and such table of contents
Pages: 76 - 85  
Year of Publication: 2007
ISBN:978-1-59593-801-5
Authors
José Carlos Brustoloni  University of Pittsburgh, Pittsburgh, PA
Ricardo Villamarín-Salomón  University of Pittsburgh, Pittsburgh, PA
Sponsor
: CyLab
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 72,   Citation Count: 2
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ABSTRACT

Context-sensitive guidance (CSG) can help users make better security decisions. Applications with CSG ask the user to provide relevant context information. Based on such information, these applications then decide or suggest an appropriate course of action. However, users often deem security dialogs irrelevant to the tasks they are performing and try to evade them. This paper contributes two new techniques for hardening CSG against automatic and false user answers. Polymorphic dialogs continuously change the form of required user inputs and intentionally delay the latter, forcing users to pay attention to security decisions. Audited dialogs thwart false user answers by (1) warning users that their answers will be forwarded to auditors, and (2) allowing auditors to quarantine users who provide unjustified answers. We implemented CSG against email-borne viruses on the Thunderbird email agent. One version, CSG-PD, includes CSG and polymorphic dialogs. Another version, CSG-PAD, includes CSG and both polymorphic and audited dialogs. In user studies, we found that untrained users accept significantly less unjustified risks with CSG-PD than with conventional dialogs. Moreover, they accept significantly less unjustified risks with CSG-PAD than with CSG-PD. CSG-PD and CSG-PAD have insignificant effect on acceptance of justified risks.


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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Collaborative Colleagues:
José Carlos Brustoloni: colleagues
Ricardo Villamarín-Salomón: colleagues