Research Article
Competition between SOM Clusters to Model User Authentication System in Computer Networks
@INPROCEEDINGS{10.1109/COMSWA.2007.382421, author={Shrijit S. Joshi and Vir V. Phoha}, title={Competition between SOM Clusters to Model User Authentication System in Computer Networks}, proceedings={2nd International IEEE Conference on Communication System Software and Middleware}, publisher={IEEE}, proceedings_a={COMSWARE}, year={2007}, month={7}, keywords={Computer security Keystroke dynamics Self organizing map User authentication}, doi={10.1109/COMSWA.2007.382421} }- Shrijit S. Joshi
Vir V. Phoha
Year: 2007
Competition between SOM Clusters to Model User Authentication System in Computer Networks
COMSWARE
IEEE
DOI: 10.1109/COMSWA.2007.382421
Abstract
Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication through keystroke dynamics. Proposed architecture consists of a set of self organizing maps where each user has a distinct map. Each map consists of n neurons in the input layer where n is the length of a keystroke pattern; however to determine the number of neurons in the output layer, a strategy is proposed. For authenticating claimed user, probable user(s) for a given pattern and the degree of similarity between the map of the claimed user and a given pattern are determined. Finally, a decision on the authenticity is made using threshold criteria. Evaluation results show the best false accept rate of 0.88% when false reject rate was 3.55% with authentication accuracy of 97.83%. An application scenario of the method in a computer network environment is also presented.