Clustering di-graphs for continuously verifying users according to their typing patterns

@article{Shimshon2010ClusteringDF,
  title={Clustering di-graphs for continuously verifying users according to their typing patterns},
  author={Tomer Shimshon and Robert Moskovitch and Lior Rokach and Yuval Elovici},
  journal={2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel},
  year={2010},
  pages={000445-000449}
}
Traditionally users are authenticated based on a username and password. However, a logged station is still vulnerable to imposters when the user leaves her computer without logging off. Keystroke dynamics methods can be useful to continuously verify a user, after the authentication process has successfully ended. Within the last decade several studies proposed the use of keystroke dynamics as a behavioral biometric tool to verify users. We propose a new method, for compactly representing the… CONTINUE READING
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