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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. Fordoi:10.1109/comswa.2007.382421 dblp:conf/comsware/JoshiP07 fatcat:xavt7buo65b5dn4mddffpxkusm