The model is about brain-computer interface cryptograpghy ,means applying/using passwords by thinking . the algorithm is based on electrophysiological signals (detectable on the scalp) acquisition from brain by multichannel sensors using eeg device and then preprocessing the neuro-signals with artifact filtering and feature extraction . as each particular thought will give a particular signal . since the signal is time varying , for particular sets of absicaa ( time ) in the signal curve (graph view ), there will be corresponding ordinates (values) . so we will be taking ordinate values for particlur intervals of time , so at a selected point of time , we will be having corresponding ordinate values . (recording ordinate values at particular time rather than taking throughout time, reduces complexity and size of the password ).the set of ordinate values can be used for making a password.