Modelling and Information Fusion in Digital Identity Management Systems

The increase in the number of users accessing online services using communication devices such as computers, mobile phone and cards such credit cards has prompted most governments and business organizations to change the way they do business and manage their identity information. However Internet users are vulnerable to identity fraud, which is on the increase and costing the global industry excessive amounts. In this paper we propose Digital Identity Management System (DIMS) as a solution for managing digital identity information. The system proposed uses technologies like artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable and efficient way. DIMS in this paper will use Multimodal Authentication (MA). MA will be implemented using a technique of information fusion with artificial neural networks to combine the user credentials for optimum recognition of a user. Keywords Credentials, Attributes, Digital Identity, Authentication, Authorization, Information Fusion