Generating Look-alike Names For Security Challenges
Shuchu Han, Yifan Hu, Steven Skiena, Barış Coşkun, Meizhu Liu, Hong Ying Qin, Jaime Arrazola Pérez · 2017
Motivated by the need to automatically generate behavior-based security challenges to improve user authentication for web services, we consider the problem of large-scale construction of realistic-looking names to serve as aliases for real individuals. We aim to use these names to construct security challenges, where users are asked to identify their real contacts among a presented pool of names. We seek these look-alike names to preserve name characteristics like gender, ethnicity, and popularity, while being unlinkable back to the source individual, thereby making the real contacts not easily guessable by attackers.