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AICAPTCHA

aiCAPTCHA relies on humans' innate ability to locate and identify objects
compared to the challenges automated algorithms encounter doing the same.
aiCAPTCHA tests contain a composite of many photographs of different types of
objects. Users are asked to select the images which match a provided description
such as green tractors or round tables. To solve the CAPTCHA, the user must
locate the matching objects. Users are allowed to make one mistake, either
selecting an incorrect object or missing one object that is present, and still
have their attempt counted as correct.


RESULTS

In testing, humans achieved 94.6% accuracy in solving aiCAPTCHA tests.


DEMOS

Try aiCAPTCHA


PUBLICATIONS


CONFERENCE PAPERS

 1. B. M. Powell, E. Kalsy, G. Goswami, M. Vatsa, R. Singh, and A. Noore,
    “Attack-Resistant aiCAPTCHA using a Negative Selection Artificial Immune
    System,” in Proceedings of the 38th IEEE Symposium on Security and Privacy,
    2nd Workshop on Bio-inspired Security, Trust, Assurance, and Resilience, San
    Jose, CA, 2017. PDF Publisher's Website

 

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Dr. Brian M. Powell, Faculty Director
205 Armstrong Hall
94 Beechurst Avenue | PO Box 6109 | Morgantown, WV 26506-6109
P: 304.288.1549 | brian.powell@mail.wvu.edu
Lane Department of Computer Science and Electrical Engineering
Advanced Engineering Research Building
109 Research Way | PO Box 6109 | Morgantown, WV 26506-6109
P: 304.293.0405
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