期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015. 0307091
出版社：S&S Publications
摘要：One common application of CAPTCHA is for verifying online polls. In fact, a former Slashdot pollserves as an example of what can go wrong if pollsters don't implement filters on their surveys. Many securityprimitives are based on hard mathematical problems. Using hard AI problems for security is emerging as an excitingnew paradigm,In 1999, Slashdot published a poll that asked visitors to choose the graduate school that had the bestprogram in computer science. Students from two universities -- Carnegie Mellon and MIT -- created automatedprograms called bots to vote repeatedly for their respective schools. While those two schools received thousands ofvotes, the other schools only had a few hundred each. If it's possible to create a program that can vote in a poll, how canwe trust online poll results at all? A CAPTCHA form can help prevent programmers from taking advantage of thepolling system. In this paper, we present a new security primitive based on hard AI problems, namely, a novel family ofgraphical password systems built on top of Captcha technology, which we call Captcha as graphical passwords (CaRP).CaRP is both a Captcha and a graphical password scheme. CaRP addresses a number of security problems altogether,such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks.
关键词：Local binary pattern; Gaussian filters; images; data set; robustness
