Abstract
Authentication in a Web environment is severely constrained by a minimal expectation of an infrastructure made up of software, hardware, and operator expertise. The traditional mechanism, passwords, is outliving its usefulness in the Web arena. This article presents results from a field test of a graphical authentication system called DynaHand, which utilizes biometrics, i.e. human handwriting recognition, in a graphical authentication mechanism. We also present a tool that supports the analysis of errors evidenced during the authentication process, making it possible to classify failed attempts as either due to genuine user error or failed intrusions. In the case of the former, the tool helps to reduce the occurrence of such genuine errors by identifying distractor images that could potentially cause confusion due to their similarity to target images.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
