An Adaptive Ensemble Machine Learning Model for Intrusion Detection

An Adaptive Ensemble Machine Learning Model for Intrusion Detection

In recent years, advanced threat attacks are increasing, but the traditional network intrusion detection system based on feature filtering has some drawbacks which make it difficult to find new attacks in time. This paper takes NSL-KDD data set as the research object, analyses the latest progress an...

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Bibliographic Details
Main Authors: Xianwei Gao, Chun Shan, Changzhen Hu, Zequn Niu, Zhen Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Intrusion detection
ensemble learning
deep neural network
voting
MultiTree
NSL-KDD
Online Access:https://ieeexplore.ieee.org/document/8740962/

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