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Human vs. Machine: Analyzing the Robustness of Advertisement Based Captchas Advances in Signal Processing and Intelligent Recognition Systems

Publication Type : Journal Article

Thematic Areas : Amrita Center for Cybersecurity Systems and Networks

Publisher : Springer Cham

Source : Advances in Intelligent Systems and Computing, Springer Verlag, Volume 264, Trivandrum, p.477-489 (2014)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84940240463&partnerID=40&md5=d0f8c54e03d9008ac29a312f8b62fb8b

ISBN : 9783319049595

Keywords : BOT project, CAPTCHAs, Cracks, Electronic mail filters, NAtural language processing, Natural language processing systems, Network security, NLPCAPTCHA, Optical character recognition, Signal processing, Tesseract, User experience, Web services, Websites

Campus : Amritapuri

School : Centre for Cybersecurity Systems and Networks, School of Engineering

Center : Cyber Security

Department : CISAI, cyber Security

Year : 2015

Abstract : Human vs. Machine: Analyzing the Robustness of Advertisement Based Captchas Advances in Signal Processing and Intelligent Recognition Systems 477-489 2014 Springer Cham

Cite this Research Publication : P. Poornachandran, Hrudya, P., and Reghunadh, J., “Human vs. machine: Analyzing the robustness of advertisement based CAPTCHAs”, Advances in Intelligent Systems and Computing, vol. 264, pp. 477-489, 2014.

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