Main Article Content
Abstract
User authentication is extremely important for computer and network system security. Currently, knowledge-based methods (e.g., passwords) and token-based methods (e.g., smart cards) are the most popular approaches. However, these methods have a number of security flaws. For example, passwords can be easily shared, stolen, and forgotten. To deal with these issues, many other login authentication methods, including textual and graphical passwords and biometric authentication such as face recognition and fingerprint have been utilized.
Biometric authentication has been getting widespread attention over the past decade with growing demands in automated secured personal identification. Continuous Authentication (CA) system verifies the user continuously once a person is logged in. Continuous Authentication system prevents the intruders from invoking the system.Continuous user authentication that primarily uses hard and soft biometric traits produce the maximum accuracy compared to existing methods. This paper presents an approach towards implementing continuous user authentication on a personal system by integrating hard and soft biometrics traits.