Modular logic of authentication using dynamic keystroke pattern analysis
Tapalina Bhattasali, Piotr Panasiuk, Khalid Saeed, Nabendu Chaki, Rituparna Chaki · AIP conference proceedings · 2016
Authenticating users in a continual manner has become extremely critical for a wide range of applications in the domain of pervasive computing and Internet of Things (IoT). In these days, it’s also an accepted fact that user authentication based on biometric features is often more efficient than the traditional means of password-based authentication. However, many of the existing biometric techniques like Iris or finger-print recognition are effective only when the person to be authenticated or verified is physically accessible. Thus such technologies are good for applications like Passport Control and fall short of the requirements for IoT applications like an integrated remote-healthcare where different types of users like Doctors, patients, hospitals, insurance companies, other care-givers and even authorized civic-body administrators are to be continually authenticated from remote locations. It is important to ensure that the desired services are accessed only by a legitimate user and no one else. In this paper, we address these issues by proposing a modular solution using key-stroke based biometrics.