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Security when people matter: structuring incentives for user behavior
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ACM International Conference Proceeding Series; Vol. 258 archive
Proceedings of the ninth international conference on Electronic commerce table of contents
Minneapolis, MN, USA
SESSION: Session M1: privacy in e-commerce table of contents
Pages: 7 - 14  
Year of Publication: 2007
ISBN:978-1-59593-700-1
Authors
Rick Wash  University of Michigan, Ann Arbor, MI
Jeffrey K. MacKie-Mason  University of Michigan, Ann Arbor, MI
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

Humans are "smart components" in a system, but cannot be directly programmed to perform; rather, their autonomy must be respected as a design constraint and incentives provided to induce desired behavior. Sometimes these incentives are properly aligned, and the humans don't represent a vulnerability. But often, a misalignment of incentives causes a weakness in the system that can be exploited by clever attackers. Incentive-centered design tools help us understand these problems, and provide design principles to alleviate them. We describe incentive-centered design and some tools it provides. We provide a number of examples of security problems for which Incentive Centered Design might be helpful. We elaborate with a general screening model that offers strong design principles for a class of security problems.


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:
Rick Wash: colleagues
Jeffrey K. MacKie-Mason: colleagues