Abstract
This paper proposes a two-factor graphical password authentication scheme, PassPage, which is suitable for website authentication with enhanced security. It leverages the implicit memory based on the user’s web browsing records. Whenever the user tries to log in, the server returns 9 small pages as a challenge, and asks the user to select all the pages the user has browsed besides inputting a text password. We performed user experiments on 12 volunteers. The experiment results showed that the average login success rate on a news website is steadily over 80% when the users are familiar with the login process, and the login success rate does not decrease sharply in 6 days.
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CITATION STYLE
Chu, X., Sun, H., & Chen, Z. (2020). Passpage: Graphical password authentication scheme based on web browsing records. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12063 LNCS, pp. 166–176). Springer. https://doi.org/10.1007/978-3-030-54455-3_12
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