Application of Neuro-Fuzzy Inference to Detect Network Scanning

被引：4

作者：

Kalinin, M. O. ^{[1
]}

机构：

[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia

来源：

AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2021年 / 55卷 / 08期

基金：

俄罗斯基础研究基金会;

关键词：

security; artificial intelligence; neuro-fuzzy inference; neural network; fuzzy logic; network scanning; Takagi-Sugeno; ANFIS; soft computing; SYSTEM;

D O I：

10.3103/S0146411621080150

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：908 / 917

页数：10

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