Using Artificial Neural Networks to Implement Information Fusion in Digital Identity Management Systems

The management of identities of the citizens, public institutions and other organisation has been the core function of the government for years now. 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. This technology and globalisation has also seen most Internet users being 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 open 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 which will be implemented using a technique of information fusion with artificial neural networks to combine the user credentials for optimum recognition of a user.