Computer user profiling is based on behavioral biometrics. Distinctive profiles for users are established based on how they use a motion-based input device such as a mouse and/or a keyboard, during a training period. User identification is established by training neural networks. Experimental data is provided.

Biometrics using inherited characteristics are frequently used in security systems. An alternative metric is user behaviour. Examples of user behaviour are the set of web pages accessed over a number of Internet sessions, or, the set of television programmes viewed by an individual over a number of days. A mathematical framework is developed which enables simple and robust identification algorithms based on this kind of user behaviour to be presented.