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CAPTCHaStar! A novel CAPTCHA based on interactive shape discovery | | Mauro Conti
; Claudio Guarisco
; Riccardo Spolaor
; | | Date: |
2 Mar 2015 | | Abstract: | Over the last years, most websites where users can register (e.g., email
providers and social networks) adopted CAPTCHAs (Completely Automated Public
Turing test to tell Computers and Humans Apart) as a countermeasure for
automated attacks. The battle of wits between designers and attackers of
CAPTCHAs led to current ones being annoying and hard to resolve for users,
while still being vulnerable to automated attacks. In this paper, we propose
CAPTCHaStar, a new image-based CAPTCHA that relies on user interaction. This
novel CAPTCHA leverages the innate human ability to recognize shapes in a
confused environment. We assess the effectiveness of our proposal for the two
key aspects for CAPTCHAs, i.e., usability, and resiliency to automated attacks.
In particular, we evaluated the usability, carrying out a thorough user study,
and we tested the resiliency of our proposal against several types of automated
attacks: traditional ones; designed ad-hoc for our proposal; and based on
machine learning. Compared to the state of the art, our proposal is more user
friendly (e.g., only some 35% of the users prefer current solutions, such as
text-based CAPTCHAs) and more resilient to automated attacks. | | Source: | arXiv, 1503.0561 | | Services: | Forum | Review | PDF | Favorites | |
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