Federated Learning and Convolutional Neural Networks for Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Federated Learning and Convolutional Neural Networks for Intrusion Detection Systems

Published:2024-04-24 Issue: Volume:9 Page:1-8
ISSN:
Container-title:2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
language:
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Author:

Abid Malika¹,Benkaddour Mohammed Kamel¹,Benouis Mohamed²

Affiliation:

1. University of Kasdi Merbah,Faculty of Sciences and Technology, Artificial Intelligence and Information Technology, Laboratory (LINATI),Computer Science Department,Ouargla,Algeria

2. University of Augsburg,Human-Centered Artificial Intelligence,Augsburg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10541106/10541120/10541284.pdf?arnumber=10541284

Reference41 articles.

1. HuntGPT: Integrating machine learning-based anomaly detection and explainable AI with large language models (LLMs);Ali,2021

2. Network intrusion detection: a comparative study of four classifiers using the NSL-KDD and KDD’99 datasets;Devarakonda;International Journal of Advanced Research in Computer Science and Software Engineering,2019

3. Implementing a network intrusion detection system using semi-supervised support vector machine and random forest

4. A Machine Learning Approach for Intrusion Detection System on NSL-KDD Dataset

5. Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks

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