DocumentCode :
571478
Title :
Proposal of Movie CAPTCHA Method Using Amodal Completion
Author :
Mori, Takuma ; Uda, Ryuya ; Kikuchi, Masayuki
Author_Institution :
Comput. Sci. Program, Tokyo Univ. of Technol., Hachioji, Japan
fYear :
2012
fDate :
16-20 July 2012
Firstpage :
11
Lastpage :
18
Abstract :
Web services accounts have recently been automatically acquired in large quantities by bot-programs, which are malicious. Furthermore, the acquired accounts have been used for spamming, which is a problem for service operators or Internet users. Completely Automated Public Turing Tests To Tell Computers and Humans Apart (CAPTCHAs) have generally been adopted for Web Services as a method of preventing Web services accounts from being acquired. These are Turing tests for users of Web services to distinguish between humans and bot-programs. There are several types of methods in CAPTCHAs, but the most typical in this field are text-based. However, these methods can be decoded with a high degree of probability, because of the OCR technology that has evolved. Much research on resolving this problem has been proposed. For example, one method in this research adds distortion to characters to make it difficult to analyze them with OCR. Despite this research, OCR has a higher success rate than humans. Thus, we propose a practical method for CAPTCHA in this paper in which only humans can provide correct answers by applying a modal completion.
Keywords :
Turing machines; Web services; optical character recognition; probability; security of data; text analysis; Internet users; OCR technology; Web services; amodal completion; bot-programs; completely automated public turing tests to tell computers and humans apart; movie CAPTCHA method; probability; service operators; spamming; text-based method; Internet; amodal completion; captcha; webservice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and the Internet (SAINT), 2012 IEEE/IPSJ 12th International Symposium on
Conference_Location :
Izmir
Print_ISBN :
978-1-4673-2001-6
Electronic_ISBN :
978-0-7695-4737-4
Type :
conf
DOI :
10.1109/SAINT.2012.12
Filename :
6305256
Link To Document :
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