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  1. Proceedings of the 4th symposium on Usable privacy and security (SOUPS '08)
  2. Use Your Illusion: secure authentication usable anywhere
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Improving text passwords through persuasion
Use Your Illusion: secure authentication usable anywhere
Evaluating assistance of natural language policy authoring
A user study of off-the-record messaging
Personal knowledge questions for fallback authentication: security questions in the era of Facebook
Usability of CAPTCHAs or usability issues in CAPTCHA design
Expressions of expertness: the virtuous circle of natural language for access control policy specification
The challenges of using an intrusion detection system: is it worth the effort?
Securing passfaces for description
Universal device pairing using an auxiliary device
Evaluating the usability of usage controls in electronic collaboration
Analyzing websites for user-visible security design flaws

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Use Your Illusion: secure authentication usable anywhere

Content Provider ACM Digital Library
Author Christin, Nicolas Hayashi, Eiji Perrig, Adrian Dhamija, Rachna
Abstract In this paper, we propose and evaluate Use Your Illusion, a novel mechanism for user authentication that is secure and usable regardless of the size of the device on which it is used. Our system relies on the human ability to recognize a degraded version of a previously seen image. We illustrate how distorted images can be used to maintain the usability of graphical password schemes while making them more resilient to social engineering or observation attacks. Because it is difficult to mentally "revert" a degraded image, without knowledge of the original image, our scheme provides a strong line of defense against impostor access, while preserving the desirable memorability properties of graphical password schemes. Using low-fidelity tests to aid in the design, we implement prototypes of Use Your Illusion as i) an Ajax-based web service and ii) on Nokia N70 cellular phones. We conduct a between-subjects usability study of the cellular phone prototype with a total of 99 participants in two experiments. We demonstrate that, regardless of their age or gender, users are very skilled at recognizing degraded versions of self-chosen images, even on small displays and after time periods of one month. Our results indicate that graphical passwords with distorted images can achieve equivalent error rates to those using traditional images, but only when the original image is known.
Starting Page 35
Ending Page 45
Page Count 11
File Format PDF
ISBN 9781605582764
DOI 10.1145/1408664.1408670
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-07-23
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Graphical passwords Social engineering Distortion
Content Type Text
Resource Type Article
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