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Hybrid Feature Selection Method for Intrusion Detection Systems Based on an Improved Intelligent Water Drop Algorithm Cover

Hybrid Feature Selection Method for Intrusion Detection Systems Based on an Improved Intelligent Water Drop Algorithm

Cybernetics and Information Technologies
Volume 22 (2022): Issue 4 (November 2022)
By: Esra’a Alhenawi,  Hadeel Alazzam,  Rizik Al-Sayyed,  Orieb AbuAlghanam and  Omar Adwan  
Open Access
|Nov 2022

Authors

Esra’a Alhenawi

e.alhenawi@ammanu.edu.jo

Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan

Hadeel Alazzam

hadeel.alazzam@bau.edu.jo

Department of Intelligence Systems, Al-Balqa Applied University, Al-Salt, Jordan

Rizik Al-Sayyed

r.alsayyed@ju.edu.jo

King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan

Orieb AbuAlghanam

O.AbuAlganam@ju.edu.jo

Department of Computer Science, The University of Jordan, Amman, Jordan

Omar Adwan

adwanoy@ammanu.edu.jo

Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan
Department of Computer Science, The University of Jordan, Amman, Jordan
DOI: https://doi.org/10.2478/cait-2022-0040 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 73 - 90
Submitted on: Oct 3, 2022
Accepted on: Oct 18, 2022
Published on: Nov 10, 2022
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cybersecurity,
Decision tree,
Ensemble filter,
Feature selection,
Intelligent Water Drop,
Intrusion Detection System
Related subjects:
Computer sciences,
Information technology

© 2022 Esra’a Alhenawi, Hadeel Alazzam, Rizik Al-Sayyed, Orieb AbuAlghanam, Omar Adwan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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