Network intrusion detection system using supervised learning paradigm

O.D. Alowolodu; Adebayọ Olusọla Adetunmbi; Jacob O. Mebawondu; Adebayo O. Adetunmbi

doi:10.1016/j.sciaf.2020.e00497

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JOURNAL ARTICLE

Network intrusion detection system using supervised learning paradigm

Jacob O. Mebawondu O.D. Alowolodu Jacob O. Mebawondu Adebayọ Olusọla Adetunmbi Jacob O. Mebawondu Adebayo O. Adetunmbi

Year: 2020 Journal: Scientific African Vol: 9 Pages: e00497-e00497 Publisher: Elsevier BV

DOI: 10.1016/j.sciaf.2020.e00497

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Keywords:

Intrusion detection system Computer science The Internet Anomaly-based intrusion detection system Terabyte Artificial intelligence Artificial neural network Data mining Feature selection Perceptron Machine learning World Wide Web

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115

Cited By

10.51

FWCI (Field Weighted Citation Impact)

Refs

0.98

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

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network intrusion detection system using supervised learning paradigm

Metrics

Citation History

Topics

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