Abstract

The rapid growth of the computers that are interconnected, the crime rate has also increased and the ways to mitigate those crimes has become the important problem now.In the entire globe, organizations, higher learning institutions and governments are completely dependent on the computer networks which plays a major role in their daily operations.Hence the necessity for protecting those networked systems has also increased.An intrusion detection system (IDS) inspects all inbound and outbound network activity and identifies suspicious patterns that may indicate a network or system attack from someone attempting to break into or compromise a system.In this research article, we will try to analyse different intrusion detection approaches SVM, ANN, SOM , Fuzzy Logic.In this research article, we have proposed a new technique that will tackle with all these different intrusion attacks.We propose a hybrid kind of approach that might be useful while facing these vicious network intrusion attacks.

Keywords:
Intrusion detection system Computer science Artificial intelligence

Metrics

9
Cited By
1.84
FWCI (Field Weighted Citation Impact)
16
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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