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Darwin: A Ground Truth Agnostic CAPTCHA Generator Using Evolutionary Algorithm
GECCO-14 (2014)
  • Eric Y Chen, Carnegie Mellon University
  • Lin-Shung Huang, Carnegie Mellon University
  • Ole J Mengshoel, Carnegie Mellon University
  • Jason D Lohn, Carnegie Mellon University
Abstract
We designed and implemented Darwin, the first CAPTCHA generator using evolutionary algorithm. We evaluated the effectiveness of our proposed CAPTCHAs with MTurk users (non-attackers) and Antigate workers (attackers). Due to our ground-truth agnostic fitness function, we are able to discover a new category of CAPTCHAs in which attackers answer correctly but non-attackers answer incorrectly.
Keywords
  • CAPTCHA,
  • genetic algorithms,
  • evolutionary algorithms,
  • Mechanical Turk
Publication Date
July, 2014
Publisher Statement
@inproceedings{chen14darwin,
 author    = {Chen, E. Y. and Huang, L.-S. and Mengshoel, O. J. and Lohn, J. D.},
 title     = {Darwin: a ground truth agnostic {CAPTCHA} generator using evolutionary algorithm},
 booktitle = {Proc. Genetic and Evolutionary Computation Conference ({GECCO}-14)}, 
 address   = {Vancouver, BC, Canada}, 
 month     = {July},  
 pages     = {165--166},
 year      = {2014}
}
Citation Information
Eric Y Chen, Lin-Shung Huang, Ole J Mengshoel and Jason D Lohn. "Darwin: A Ground Truth Agnostic CAPTCHA Generator Using Evolutionary Algorithm" GECCO-14 (2014)
Available at: http://works.bepress.com/ole_mengshoel/52/