Application of Neuro-Fuzzy Inference to Detect Network Scanning
Maxim Kalinin · Automatic Control and Computer Sciences · 2021
Abstract— Neuro-fuzzy systems, the hybrid computational structures integrating elements of artificial networks and fuzzy logic, are reviewed. Modern neuro-fuzzy systems are investigated, a neuro-fuzzy toolkit for detecting network scanning using a neuro-fuzzy system is proposed, and efficiency analysis of the given technology is carried out. The applicability of hybrid neuro-fuzzy system combining a neural network of signal forward propagation and the basis of Takagi–Sugeno fuzzy inference are substantiated and confirmed.