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Against spyware using CAPTCHA in graphical password scheme

Wang, Liming; Chang, Xiuling; Ren, Zhongjie; Haichang, Gao; Liu, Xiyang; Aickelin, Uwe

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Authors

Liming Wang

Xiuling Chang

Zhongjie Ren

Gao Haichang

Xiyang Liu

Uwe Aickelin



Abstract

Text-based password schemes have inherent security and usability problems, leading to the development of graphical
password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (Completely Automated Public Turing tests to tell Computers and Humans Apart) that retaining the advantages of graphical password schemes, while simultaneously raising the cost of adversaries by orders of magnitude. Furthermore, some primary experiments are conducted and the results indicate that the usability should be improved in the future work.

Citation

Wang, L., Chang, X., Ren, Z., Haichang, G., Liu, X., & Aickelin, U. Against spyware using CAPTCHA in graphical password scheme. https://doi.org/10.1109/AINA.2010.46

Journal Article Type Article
Deposit Date Aug 20, 2010
Publicly Available Date Mar 28, 2024
Journal International Conference on Advanced Information Networking and Applications
Peer Reviewed Peer Reviewed
Volume 24
DOI https://doi.org/10.1109/AINA.2010.46
Public URL https://nottingham-repository.worktribe.com/output/1013421
Publisher URL http://ieeexplore.ieee.org/Xplore/guesthome.jsp
Additional Information Paper presented at: The 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, Australia

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