Identification in Digital Economy Computer Systems

Abstract

Abstract—A new method of interactive identification is proposed—trusted identification of a person using untrusted devices (e.g., smartphones, tablets, etc.). It is shown that static, unchangeable, or almost invariable biometric features can be used in criminology, but it is impractical for digital economy computer systems. It is inefficient to use fingerprints, iris and retina, vascular pattern, etc., as characteristics. On the contrary, it is necessary to use inherent human dynamic characteristics , for example, those manifested in reflexes. As such, eye movements can be used when reading and/or tracking a stimulus, as well as saccades, pulse wave, and others. For decision-making it is proposed to use artificial neural networks.