應用於行動裝置上以加速器為基礎的CAPTCHA系統

大部分的CAPTCHA是設計來防止自動登入盜用、大量垃圾信及自動註冊等攻擊，然而基於文字及圖像的CAPTCHA並不適用於行動裝置。文字型CAPTCHA有過多的雜訊及變形、在小螢幕上相對難以辨識，而圖像型CAPTCHA則需要大量手勢操控來放大移動該圖像、這實在惱人。在本論文中，我們提出一個新穎的、基於加速器的CAPTCHA系統並做出以下貢獻：一、使用簡單的加速器取代複雜的輸入裝置來做水平及垂直的操控；二、提出一個不依於文化及語言的CAPTCHA系統；三、在不增加使用者的困擾下加強CAPTCHA的安全性；四、此CAPTCHA乃基於進階的人類認知能力（遊戲解謎）。

關鍵字

加速器；行動裝置；驗證碼；人機辨識碼

並列摘要

Most CAPTCHAs are designed to defense bots-logon to exploit, the massive spam and registration attacks. However, both text-based and imaged-based challenges which are not suitable for mobile devices. Text-based CAPTCHAs with too much noises and distortions are relatively hard for recognition on tiny screens while the image-based CAPTCHAs require massive gestures to enlarge and swipe the images will add annoyance to users. In this paper we propose a novel accelerometer-based CAPTCHA scheme with the contributions: (1) uses simple accelerometer as input of horizontal and vertical movement instead of complex keyboard inputs (2) is culture/language independent (3) enhances the security without annoying users (4) is based on more advanced human cognitive capabilities.

並列關鍵字

HIP ； CAPTCHA ； accelerometer-based ； mobility

參考文獻

[12] K. Chellapilla, K. Larson, and P. Simard, “Computers beat humans at single character recognition in reading based human interaction proofs (HIPs),” in CEAS, 2005.

[1] C. Shannon, “Programming a computer for playing chess,” Philosophical magazine, Vol. 41, no.314, pp.256-275, 1950.

[2] J. Hernandez and J. Sierra, “Compulsive voting,” Proceeding of the 36th Annual 2002 intentional Carnahan conference on security technology, pp.124-133, 2002.

[4] L. von Ahn, M. Blum, and N. Hopper, “CAPTCHA: Using hard AI problems for security,” in Eurocrypt, 2003.

[5] M. chew, and J. Tygar, “Image recognition captchas,” Information Security, 2004.

國際替代計量

應用於行動裝置上以加速器為基礎的CAPTCHA系統

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