Intrusion Detection System: An Automatic Machine Learning Algorithms Using Auto- WEKA-Reference-Cited by-同舟云学术

Intrusion Detection System: An Automatic Machine Learning Algorithms Using Auto- WEKA

Published:2022-07-23 Issue: Volume: Page:
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Container-title:2022 IEEE 13th Control and System Graduate Research Colloquium (ICSGRC)
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Author:

Samawi Venus W.¹,Yousif Suhad A.²,Al-Saidi Nadia M. G.³

Affiliation:

1. Isra University,Department of Computer Science,Amman,Jordan

2. Al-Nahrain University,Department of Computer Science,Baghdad,Iraq

3. University of Technology,Department of Applied Sciences,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9844829/9845129/09845166.pdf?arnumber=9845166

Reference24 articles.

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3. A detailed analysis of the KDD CUP 99 data set

4. A collaborative project between the Communications Security Establishment (CSE) & the Canadian Institute for Cybersecurity (CIC);CSE-CIC-IDS2018,2018

5. The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems;wendi;SENSORS,2020

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