A Comparative Study of Machine Learning Methods for Intrusion Detection-Reference-Cited by-同舟云学术

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A Comparative Study of Machine Learning Methods for Intrusion Detection

Published:2023-05-08 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Electrical and Electronics Engineering (ICEEE)
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Author:

Sibai Fadi N.¹,Asaduzzaman Abu²,Sibai Ahmad³

Affiliation:

1. Gulf University for Science and Technology,Electrical & Computer Engineering Dept.,Mishref,Kuwait

2. Wichita State University,Electrical & Computer Engineering Dept.,Wichita,Kansas,U.S.A.

3. University of South Florida,Computer Science Dept.,Tampa,FL,U.S.A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10298260/10298650/10298770.pdf?arnumber=10298770

Reference30 articles.

1. Analysis of KDD Dataset Attributes - Class wise for Intrusion Detection

2. Improving classification using preprocessing and machine learning algorithms on NSL-KDD dataset

3. A study on NSL-KDD dataset for intrusion detection system based on classification algorithms;dhanabal;Int J Adv Res Comput Commun Eng,2015

4. Using Data Mining Algorithms for Developing a Model for Intrusion Detection System (IDS)

5. Lung Opacity Pneumonia Detection with Improved Residual Networks

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