Mobile authentication using keystroke dynamics

As mobiles become a ubiquitous, they are used more and more for operations that may involve sensitive data or huge amounts of money. The mobile is also increasingly being used as the tool of preference for browsing and using the Internet. Hence, new security measures must be developed to support increased functionality of these devices, to protect users in the case of any mishap. Authentication using keystroke dynamics for mobiles is an area that has received attention recently. In this paper, we have studied some authentication techniques used earlier including relative and absolute distance measures, mean and standard deviation based methods and feature fusion methods. We provide a method for authentication using fusion techniques for our own novel mean and standard deviation based approaches, which gives low error rates.