Communications of the ACM
Information Retrieval
Human Interactive Proofs and Document Image Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Using a Text-to-Speech Synthesizer to Generate a Reverse Turing Test
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Telling humans and computers apart automatically
Communications of the ACM - Information cities
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tagging video: conventions and strategies of the YouTube community
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Analysis of online video search and sharing
Proceedings of the eighteenth conference on Hypertext and hypermedia
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Asirra: a CAPTCHA that exploits interest-aligned manual image categorization
Proceedings of the 14th ACM conference on Computer and communications security
Structure and Network in the YouTube Core
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Exploiting the gap between human and machine abilities in handwriting recognition for web security applications
Usability of CAPTCHAs or usability issues in CAPTCHA design
Proceedings of the 4th symposium on Usable privacy and security
Machine learning attacks against the Asirra CAPTCHA
Proceedings of the 15th ACM conference on Computer and communications security
A low-cost attack on a Microsoft captcha
Proceedings of the 15th ACM conference on Computer and communications security
What's up CAPTCHA?: a CAPTCHA based on image orientation
Proceedings of the 18th international conference on World wide web
Building segmentation based human-friendly human interaction proofs (HIPs)
HIP'05 Proceedings of the Second international conference on Human Interactive Proofs
Attacks and design of image recognition CAPTCHAs
Proceedings of the 17th ACM conference on Computer and communications security
A study of CAPTCHA and its application to user authentication
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
On the necessity of user-friendly CAPTCHA
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Do cognitive styles of users affect preference and performance related to CAPTCHA challenges?
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Security and usability challenges of moving-object CAPTCHAs: decoding codewords in motion
Security'12 Proceedings of the 21st USENIX conference on Security symposium
Breaking reCAPTCHAs with unpredictable collapse: heuristic character segmentation and recognition
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Video-passwords: advertising while authenticating
Proceedings of the 2012 workshop on New security paradigms
An empirical study on efficiency and effectiveness of localized vs. Latin-based CAPTCHA challenges
Proceedings of the 17th Panhellenic Conference on Informatics
FaceDCAPTCHA: Face detection based color image CAPTCHA
Future Generation Computer Systems
A novel gesture-based CAPTCHA design for smart devices
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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We present a technique for using content-based video labeling as a CAPTCHA task. Our CAPTCHAs are generated from YouTube videos, which contain labels (tags) supplied by the person that uploaded the video. They are graded using a video's tags, as well as tags from related videos. In a user study involving 184 participants, we were able to increase the human success rate on our video CAPTCHA from roughly 70% to 90%, while keeping the success rate of a tag frequency-based attack fixed at around 13%. Through a different parameterization of the challenge generation and grading algorithms, we were able to reduce the success rate of the same attack to 2%, while still increasing the human success rate from 70% to 75%. The usability and security of our video CAPTCHA appears to be comparable to existing CAPTCHAs, and a majority of participants (60%) indicated that they found the video CAPTCHAs more enjoyable than traditional CAPTCHAs in which distorted text must be transcribed.