Protection through Intelligent and Multimedia Captchas

Authors:
Wesam Al-Sudani;Amit Gill;Chen Li;Jidong Wang;Fei Liu
Affiliations:
La Trobe University, Australia;La Trobe University, Australia;La Trobe University, Australia;RMIT University, Australia;La Trobe University, Australia
Venue:
International Journal of Adaptive, Resilient and Autonomic Systems
Year:
2012

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Abstract

The Complete Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a modern implementation of the Turing test. A CAPTCHA asks a series of questions which are supposed to be relatively easy for mature human beings but hard for machines to answer. A CAPTCHA, as its name suggests, is generally used as a tool to distinguish human beings from machines when the corresponding party is invisible in a remote site. There are many CAPTCHAs proposed and widely used in many Internet applications, with varied strength and performance. In this article, a review of current CAPTCHAs is presented. Analysis and comparisons are provided for various CAPTCHAs. Two types of new CAPTCHAs, intelligent and multimedia CAPTCHAs, are proposed. Our experiments have shown that the newly proposed CAPTCHAs have stronger protection than most existing CAPTCHAs and they can be applied to various web applications, such as e-commerce.