JOURNAL ARTICLE

Survey on Intrusion Detection System using Machine Learning Techniques

Sharmila KishorWaghVinod PachghareSatish R. Kolhe

Year: 2013 Journal:   International Journal of Computer Applications Vol: 78 (16)Pages: 30-37

Abstract

In today's world, almost everybody is affluent with computers and network based technology is growing by leaps and bounds.So, network security has become very important, rather an inevitable part of computer system.An Intrusion Detection System (IDS) is designed to detect system attacks and classify system activities into normal and abnormal form.Machine learning techniques have been applied to intrusion detection systems which have an important role in detecting Intrusions.This paper reviews different machine approaches for Intrusion detection system.This paper also presents the system design of an Intrusion detection system to reduce false alarm rate and improve accuracy to detect intrusion.

Keywords:
Computer science Intrusion detection system Machine learning Artificial intelligence Intrusion

Metrics

89
Cited By
2.90
FWCI (Field Weighted Citation Impact)
26
Refs
0.92
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
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence

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