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• W2773085617 abstract "Text-based CAPTCHA has been used over decades with increasing difficulty to remain effective with OCR technique advance. Image-based CAPTCHA is supposed to step in as a better alternative. However, recognition-based image CAPTCHA is not robust enough to resist against either computer pattern recognition algorithms or brute-force attacks with exhaustivity approach. We present a new CAPTCHA design called Relacha to distinguish humans from bots by an image content correlation test. The new construction scheme adopts random walk among images with correlated contents, and utilizes human reasoning ability on inferring the relevance of images. Relacha challenges are generated dynamically by using images from real-time online search engine. The usability and robustness of the proposed scheme has been evaluated by both numerical analysis and empirical evidence. The results show that humans can solve Relacha conveniently and effectively with a high pass rate, while bot programs may succeed with slim chance." @default.
• W2773085617 created "2017-12-22" @default.
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• W2773085617 date "2017-01-01" @default.
• W2773085617 modified "2023-09-26" @default.
• W2773085617 title "Relacha: Using Associative Meaning for Image Captcha Understandability" @default.
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• W2773085617 doi "https://doi.org/10.1007/978-3-319-72389-1_29" @default.
• W2773085617 hasPublicationYear "2017" @default.
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