Abstract-Shoulder-surfing is a known risk where an attacker can capture a password by direct observation or by recording the authentication session. Due to the visual interface, this problem has become exacerbated in graphical passwords. There have been some graphical schemes resistant or immune to shoulder-surfing, but they have significant usability drawbacks, usually in the time and effort to log in. In this paper, we propose and evaluate a new shoulder-surfing resistant scheme which has a desirable usability for PDAs. Our inspiration comes from the drawing input method in DAS and the association mnemonics in Story for sequence retrieval. The new scheme requires users to draw a curve across their password images orderly rather than click directly on them. The drawing input trick along with the complementary measures, such as erasing the drawing trace, displaying degraded images, and starting and ending with randomly designated images provide a good resistance to shouldersurfing. A preliminary user study showed that users were able to enter their passwords accurately and to remember them over time.
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
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