Ritendra Datta
ABSTRACT
We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.
- L. von Ahn et al., "Telling Humans and Computers Apart (Automatically) or How Lazy Cryptographers do AI," Comm. of the ACM, 47(2):57--60, 2004. Google Scholar
Digital Library
- "The CAPTCHA Project,"http://www.captcha.net.Google Scholar
- M. Chew et al., "Image Recognition CAPTCHAs," Proc. 7th Info. Security Conf., 2004.Google Scholar
- J. J. Jiang et al., "Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy," Proc. Intl. Conf. Research in Computational Linguistics, 1997.Google Scholar
- G. Miller, "WordNet: A Lexical Database for English," Comm. of the ACM, 38(11):39--41, 1995. Google ScholarDigital Library
- W. G. Morein et al., "Using Graphic Turing Tests To Counter Automated DDoS Attacks Against Web Servers," Proc. ACM Conf. Computer and Comm. Security, 2003. Google ScholarDigital Library
- G. Mori et al., "Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003. Google ScholarDigital Library
- Y. Rui et al., "ARTiFACIAL: Automated Reverse Turing Test using FACIAL features," Multimedia Systems, 9(6):493--502, 2004. Google ScholarDigital Library
- A. W. M. Smeulders et al., "Content-Based Image Retrieval at the End of the Early Years," IEEE Trans. Pattern Analysis and Machine Intelli., 22(12):1349--1380, 2000. Google ScholarDigital Library
- A. Turing, "Computing Machinery and Intelligence,"Mind, 59(236):433--460, 1950.Google ScholarCross Ref
- J.Z. Wang et al., "SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries," IEEE Trans. Pattern Analysis and Machine Intelli., 23(9):947--963, 2001. Google ScholarDigital Library
Index Terms
- IMAGINATION: a robust image-based CAPTCHA generation system
Recommendations
Mitigating DoS Using Sensing Keys
ICCS '12: Proceedings of the 2012 International Conference on Computing SciencesDenial of Service (DoS) attacks has become a major problem for users of computer systems connected to the Internet. DoS attackers hijack secondary victim systems and use them to wage a coordinated large-scale attack against primary victim systems. In ...
Pitfalls in CAPTCHA design and implementation: The Math CAPTCHA, a case study
We present a black-box attack against an already deployed CAPTCHA that aims to protect a free service delivered using the Internet. This CAPTCHA, referred to as ''Math CAPTCHA'' or ''QRBGS CAPTCHA'', requests the user to solve a mathematical problem in ...
DDIM-CAPTCHA: A Novel Drag-n-Drop Interactive Masking CAPTCHA against the Third Party Human Attacks
TAAI '13: Proceedings of the 2013 Conference on Technologies and Applications of Artificial IntelligenceA CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a security mechanism that can be used to distinguish between humans and machines. Most existing CAPTCHA systems are vulnerable against a so-called "third party ...
Comments