Processing of numerical data traffic for the purpose of forecasting its development

Baturin Dmitriy Sergeevich

Methods of forecasting the development of time series of data associated with real processes are considered. A hypothesis is put forward about the possibility of predicting complex processes when combining the recommended numerical methods and artificial intelligence methods.

Keywords:hybrid intelligent systems, numerical methods, network attacks, anomaly detection, intrusion detection, abuse detection, network traffic.