A1396
Title: Analysis of Keystroke dynamics for multi-user systems
Authors: Andrew Simpson - South Dakota State University (United States)
Semhar Michael - South Dakota State University (United States) [presenting]
Abstract: Keystroke dynamics has been used to both authenticate users of computer systems and detect unauthorized users who attempt to access the system. Monitoring keystroke dynamics adds another level to computer security, as passwords are often compromised. Keystrokes can also be continuously monitored long after a password has been entered and the user is accessing the system for added security. Many of the current methods proposed are supervised methods, assuming that the one authorized user of each keystroke is known a priori. This is not always true, for example, with businesses and government agencies, which have internal systems that multiple people have access to. This implies that unsupervised methods must be employed for these situations. A novel method is proposed that accounts for the lack of a one-to-one relationship between the number of users and the number of components, as well as accounts for known information based on when keystrokes were typed. Based on simulation studies and the motivating real-data example, the proposed model shows good performance.
