A two-stage hybrid classification technique for network intrusion detection system

A two-stage hybrid classification technique for network intrusion detection system

Conventional Network intrusion detection system (NIDS) mostly uses individual classification techniques, such system fails to provide the best possible attack detection rate. In this paper, we propose a new two-stage hybrid classification method using Support Vector Machine (SVM) as anomaly detectio...

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Bibliographic Details
Main Authors: Jamal Hussain, Samuel Lalmuanawma, Lalrinfela Chhakchhuak
Format: Article
Language:English
Published: Springer 2016-09-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Intrusion Detection Systems
Support Vector Machine
Artificial Neural Network
Machine Learning
NSL-KDD
Online Access:https://www.atlantis-press.com/article/25868734/view

Internet

https://www.atlantis-press.com/article/25868734/view

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