Data acquisition and processing in cyber-physical system for remote monitoring of the human functional state have been considered in the paper. The data processing steps, strategies for multi-step forecasting evaluation metrics and machine learning algorithms to be implemented have been analysed and described. What is important, this way it will be possible to track the condition of the sick and response to the health changes in advance.
According to the analysis of peculiarities of data protection in computer networks the necessity of usage of biometric data in user authentication services is founded. Adaptive method of user authentication in multilevel data protection system of computer network based on biometric data of fingerprints is introduced.