This book addresses the analysis of user typing rhythm i.e keystroke dynamics and strengthen categorize of individuals. Keystroke dynamics is the process of analyzing the way, a user types on a keyboard and identify him based on his habitual typing rhythm. One user typing pattern may be unique because of similar neuro- physiological factors that make written signature different. Various features and measures of keystroke dynamics exist to authenticate users. This book describes one methodology of identifying individuals more efficiently by enhancement of keystroke credentials. This book made one thorough analysis of user keystroke features like hold time, key flight time, pressed character etc. Based on these features some unique value has calculated to strengthen the user profile. To support the depicted methodology, experiment result has presented which associated with success and failure rate. The result discussed with plotted graph and easy text to make better understand ability of the reader. To facilitate easy understanding the text and the experiment result have been put in simpler form. This will certainly help the readers to understand the subject in better way.