Publication Type:

Journal Article

Source:

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

ISBN:

9783319049595

URL:

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

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

Abstract:

A program that can ensure whether the response is generated by a human, not from a machine, is called CAPTCHA. They have become a ubiquitous defense to protect web services from bot programs. At present most of the visual CAPTCHAs are cracked by programs; as a result they become more complex which makes both human and machine finds it difficult to crack. NLPCAPTCHAs, an acronym for Natural Language Processing CAPTCHA, are introduced to provide both security and revenue to websites owners through advertisements. They are highly intelligent CAPTCHAs that are difficult for a machine to understand whereas it's a better user experience when compared to traditional CAPTCHA. In this paper we have introduced a method that is able to analyze and recognize the challenges from three different types of NLPCAPTCHAs. © Springer International Publishing Switzerland 2014.

Notes:

cited By 0; Conference of International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2014 ; Conference Date: 13 March 2014 Through 15 March 2014; Conference Code:104561

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.