Applying Computational Intelligence Techniques for Personal Authentication using Keystroke Dynamics
No Thumbnail Available
Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
ABSTRACTUsername
with password is the commonly used authentication mechanism for securing huge data transactions being
carried out every day via Internet. Most of the text based authentication methods are vulnerable to many attacks as they
depend on text and can be strengthened more by combining password with key typing manner of the user. Keystroke
Dynamics is one of the inexpensive;and strong behavioral biometric technologies, which identifies the authenticity of a
user when the user is working via a keyboard. The paper uses computational intelligence techniques such as Genetic
algorithm. Ant Colony Optimization and Particle Swarm Optimization for feature subset selection and Back propagation
Neural Network for classification. From the results, it is observed that ACO wrapped with BPN outperforms the other
methods.