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Quantifying the security of preference-based authentication
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Conference on Computer and Communications Security archive
Proceedings of the 4th ACM workshop on Digital identity management table of contents
Alexandria, Virginia, USA
SESSION: Novel services table of contents
Pages 61-70  
Year of Publication: 2008
ISBN:978-1-60558-294-8
Authors
Markus Jakobsson  Palo Alto Research Center, Palo Alto, CA, USA
Liu Yang  Stevens Institute of Technology, Hoboken, NJ, USA
Susanne Wetzel  Stevens Institute of Technology, Hoboken, NJ, USA
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We describe a technique aimed at addressing longstanding problems for password reset: security and cost. In our approach, users are authenticated using their preferences. Experiments and simulations have shown that the proposed approach is secure, fast, and easy to use. In particular, the average time for a user to complete the setup is approximately two minutes, and the authentication process takes only half that time. The false negative rate of the system is essentially 0% for our selected parameter choice. For an adversary who knows the frequency distributions of answers to the questions used, the false positive rate of the system is estimated at less than half a percent, while the false positive rate is close to 0% for an adversary without this information. Both of these estimates have a significance level of 5%.


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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F. Asgharpour and M. Jakobsson. Adaptive Challenge Questions Algorithm in Password Reset/Recovery. In First International Workship on Security for Spontaneious Interaction: IWIISI'07, Innsbruck, Austria, September 2007.
 
2
D. W. Crawford, G. Godbey, and A. C. Crouter. The Stability of Leisure Preferences. Journal of Leisure Research, 18:96--115, 1986.
 
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J. L. Devore. Probability and Statistics for Engineering and Sciences. Brooks/Cole Publishing Company, 1995.
 
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V. Griffith and M. Jakobsson. Messin' with Texas, Deriving Mother's Maiden Names Using Public Records. RSA CryptoBytes, 8(1):18--28, 2007.
 
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M. Jakobsson, T. N. Jagatic, and S. Stamm. Phishing for Clues. https://www.indiana.edu/~phishing/browser-recon/, Last retrieved in August 2008.
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G. F. Kuder. The Stability of Preference Items. Journal of Social Psychology, pages 41--50, 10 1939.
 
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L. O'Gorman, A. Bagga, and J. L. Bentley. Call Center Customer Verification by Query-Directed Passwords. In Financial Cryptography, pages 54--67, 2004. www.voiceport.net/PasswordReset.aspx, last retrieved in August 2008.
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Collaborative Colleagues:
Markus Jakobsson: colleagues
Liu Yang: colleagues
Susanne Wetzel: colleagues