A Novel Genetic Algorithm-XGBoost Based Intrusion Detection Method

Yingying Sun,Chunhe Song,Shimao Yu,Hao Pan,Tong Li, Yang Liu

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)（2021）

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摘要

In order to improve the speed and accuracy of model intrusion detection in complex network environment, a network intrusion detection method based on genetic algorithm-optimized XGBoost is proposed. Taking the NSL-KDD data set as the object, the XGBoost model is trained with the ten-fold cross validation method, and the genetic algorithm is used to optimize the model parameters to predict and clas...

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关键词

Computational modeling,Conferences,Network intrusion detection,Machine learning,Complex networks,Predictive models,Search problems

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