Against Spyware Using CAPTCHA in Graphical Password Scheme

Liming Wang, Xiuling Chang, Zhongjie Ren, Haichang Gao, 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.