A Two-Level Ensemble Learning Framework for Enhancing Network Intrusion Detection Systems-Reference-Cited by-同舟云学术

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A Two-Level Ensemble Learning Framework for Enhancing Network Intrusion Detection Systems

Published:2024 Issue: Volume:12 Page:83830-83857
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arreche Osvaldo¹^ORCID,Bibers Ismail²^ORCID,Abdallah Mustafa²^ORCID

Affiliation:

1. Electrical and Computer Engineering Department, Purdue School of Engineering and Technology, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA

2. Computer and Information Technology Department, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA

Funder

Lilly Endowment

Enhanced Mentoring Program with Opportunities for Ways to Excel in Research

1st Year Research Immersion Program (1RIP) grants from the Office of the Vice Chancellor for Research at Indiana University–Purdue University Indianapolis

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10540382.pdf?arnumber=10540382

Reference72 articles.

1. Network intrusion detection

2. Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems

3. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

4. Intrusion detection based on Machine Learning techniques in computer networks

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