Conference Proceedings

Against Spyware Using CAPTCHA in Graphical Password Scheme

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

The 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, Australia | IEEE Computer Society | Published : 2010

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. © 2010 IEEE.

University of Melbourne Researchers

Grants

Awarded by National Natural Science Foundation of China


Awarded by Natural Science Basic Research Plan in Shaanxi Province of China


Funding Acknowledgements

Project supported by National Natural Science Foundation of China (60903198) and Natural Science Basic Research Plan in Shaanxi Province of China (SJ08F25).