Design and Analysis of Intrusion Detection System via Neural Network, SVM, and Neuro-Fuzzy

被引：4

作者：

Tiwari, Abhishek ^{[1
]}

Ojha, Sanjeev Kumar ^{[2
]}

机构：

[1] Galgotias Educ Inst, Dept Comp Sci & Engn, Greater Noida, India

[2] Moscow Inst Phys & Technol, Dept Radio Engn & Cybernet, Zhukovskii, Russia

来源：

EMERGING TECHNOLOGIES IN DATA MINING AND INFORMATION SECURITY, IEMIS 2018, VOL 1 | 2019年 / 755卷

关键词：

Intrusion detection; Neural network; Neuro-fuzzy; Fuzzy system; SVM;

D O I：

10.1007/978-981-13-1951-8_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An intrusion detection system is continuous observation of system or over the network assessment of an intruder or any other attacks. In this paper, design, and analysis of intrusion detection system via neuro-fuzzy, neural network and SVM technique for the improvement misuse detection system. The proposed approachable to enhancement anomaly detection and improve these techniques for anomaly detection.

引用

页码：49 / 63

页数：15

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