M-AdaBoost-A Based Ensemble System for Network Intrusion Detection
Network intrusion detection remains a challenging research area as it involves learning from large-scale imbalanced multiclass datasets. While machine learning algorithms have been widely used for network intrusion detection, most standard techniques cannot achieve consistent good performance across...
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| Language: | ENG |
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The George Washington University
2021
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=28256014 |