Enhancing Intrusion Detection in Software Defined Networks with Optimized Feature Selection and Logistic Regression-Reference-Cited by-同舟云学术

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Enhancing Intrusion Detection in Software Defined Networks with Optimized Feature Selection and Logistic Regression

Published:2024-06-09 Issue: Volume: Page:1809-1815
ISSN:
Container-title:2024 IEEE International Conference on Communications Workshops (ICC Workshops)
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Author:

Gaurav Akshat¹,Gupta Brij B.²,Chui Kwok Tai³,Arya Varsha⁴,Wu Jinsong⁵

Affiliation:

1. Ronin Institute,Montclair,NJ,USA

2. Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan,413

3. Hong Kong Metropolitan University (HKMU),Hong Kong

4. Asia University,Taichung,Taiwan

5. Universidad de Chile,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10615255/10615259/10615911.pdf?arnumber=10615911

Reference36 articles.

1. Deployment of Blockchain Technology in Software Defined Networks: A Survey

2. Analisa Sistem Identifikasi DDoS Menggunakan KNN Pada Jaringan Software Defined Network(SDN)

3. Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller

4. IMPROVED SOFTWARE-DEFINED NETWORK ROUTING FOR TELECOMMUNICATION NETWORKS

5. A comprehensive survey on software‐defined networking for smart communities

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