JOURNAL ARTICLE

An efficient XGBoost–DNN-based classification model for network intrusion detection system

D PreethiNeelu Khare

Year: 2020 Journal:   Neural Computing and Applications Vol: 32 (16)Pages: 12499-12514   Publisher: Springer Science+Business Media
Keywords:
Computer science Feature selection Artificial intelligence Machine learning Support vector machine Intrusion detection system Naive Bayes classifier Artificial neural network Normalization (sociology) Data mining Python (programming language) Classifier (UML) Model selection Pattern recognition (psychology)

Metrics

266
Cited By
27.80
FWCI (Field Weighted Citation Impact)
28
Refs
1.00
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
Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing

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