DocumentCode :
3046476
Title :
YAPPTCHA: Yet another picture promoted CAPTCHA with spam stopping, image labeling and SIFT accomplishment
Author :
Babaei, Mehdi ; Ghoushchi, Mohammad B. Ghaznavi ; Noori, Abdollah
Author_Institution :
Tehran Univ., Tehran, Iran
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
8
Abstract :
We present YAPPTCHA, a new CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) as a security measure to recognize human users. The proposed system uses images instead of distorted text to label images as a valuable output. YAPPTCHA is generated from images on the Web. In order to solve this type of CAPTCHA, users must type two words for description of two images. When users pass the challenge, the provided meaningful labels are used to determine the content of images. In addition, semantic graphs for labels and images are created and it will make it possible to develop an image semantic search engine accordingly. Due to usage of images in this system, and its architecture, it is highly secure compared to its counterparts. In a user study involving 60 participants, YAPPTCHA´s word accuracy is measured to be 98.18% while 61.26% of attempts of the users were successful.
Keywords :
graph theory; image retrieval; search engines; security of data; transforms; SIFT accomplishment; YAPPTCHA; completely automated public turing test to tell computers and humans apart; human user recognition; image labeling; image semantic search engine; security measure; semantic graphs; spam stopping; yet another picture promoted CAPTCHA; CAPTCHAs; Computers; Databases; Labeling; Security; Servers; Text recognition; CAPTCHA; Image labeling; Ontology; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599621
Filename :
6599621
Link To Document :
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