A novel remote user authentication scheme using interacting neural network

Abstract

Recently, interacting neural network has been studied out coming a novel result that the two neural networks can synchronize to a stationary weight state with the same initial inputs. In this paper, a simple but novel interacting neural network based authentication scheme is proposed, which can provide a full dynamic and security remote user authentication over a completely insecure communication channel. © Springer-Verlag Berlin Heidelberg 2005.