An Intrusion Detection System for SDN Using Machine Learning-Reference-Cited by-同舟云学术

An Intrusion Detection System for SDN Using Machine Learning

Published:2023 Issue:1 Volume:35 Page:867-880
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Logeswari G.,Bose S.,Anitha T.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v35n1/48147/pdf

Reference20 articles.

1. Network anomaly detection using light GBM: A gradient boosting classifier;Islam,2020

2. Building an effective intrusion detection system by using hybrid data optimization based on machine learning algorithms;Ren;Security and Communication Networks,2019

3. An intelligent system for preventing SSL stripping-based session hijacking attacks;Jonas,2019

4. OpenFlow: Enabling innovation in campus networks;McKeown;ACM SIGCOMM Computer Communication Review,2008

5. Towards secure and dependable software-defined networks;Kreutz,2013

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