hybrid model

The research introduces a hybrid behavioural analysis technique for early detection of anomalous user behavior observed on web applications. This strategy involves statistical probability modeling and sequence- based deep learning to design interpretable and robust anomaly detection. A probability baseline has been obtained as a probabilistic basis using KDE (Kernel Density Estimation) and longitudinal time series patterns are sampled using an LSTM network. The hybrid anomaly score combines these two models to dynamically analyze behavioural deviations.

The article studies risks and problems which businesses face in the pandemic and war conditions. The need to transform business processes based on their organizing and structuring has been substantiated. It is recommended to concentrate on those processes that make up the chain of created value: customer interaction business processes; business processes that have a great impact on the business income; business processes providing valuable processes to the enterprise; and cross-functional business processes that require coordination.