A novel Machine Learning-based Network Intrusion Detection System for Software-Defined Network

机译：基于机器学习的网络入侵检测系统，用于软件定义网络

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Network Intrusion Detection System (NIDS) is an important component in many network systems. The rapid development of the Internet requires NIDS to improve performance in terms of both accuracy and efficiency. In this paper, we propose a flow-based anomaly detection system in applying Machine Learning approach in a SDN network. The paper implements a testbed to achieve an eight-feature dataset as the input for training six Machine Learning models. The obtained experimental results showed that the proposed NIDS is potentially a good security solution for a SDN network.

机译：网络入侵检测系统（NIDS）是许多网络系统中的重要组成部分。互联网的快速发展需要NID，以便在准确性和效率方面提高性能。在本文中，我们提出了一种基于流量的异常检测系统，在SDN网络中应用机器学习方法。纸张实现了一个测试平台，实现了一个八个特征数据集作为训练六种机器学习模型的输入。所获得的实验结果表明，所提出的NIDS可能是SDN网络的良好安全解决方案。

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《NAFOSTED Conference on Information and Computer Science》|2020年|25-30|共6页
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Duc-Huy Le; Hai-Anh Tran;
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Training; Performance evaluation; Machine learning algorithms; Network intrusion detection; Switches; Internet; Security;

机译：培训;性能评估;机器学习算法;网络入侵检测;开关;互联网;安全;

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1. Machine Learning-based Distributed Denial of Service Attacks Detection Technique using New Features in Software-defined Networks [J] . Waheed G. Gadallah, Nagwa M. Omar, Hosny M. Ibrahim International Journal of Computer Network and Information Security . 2021,第3期

机译：基于机器学习的分布式拒绝服务攻击检测技术使用软件定义网络中的新功能
2. Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset [J] . Soulaiman Moualla, Khaldoun Khorzom, Assef Jafar Computational intelligence and neuroscience . 2021,第a期

机译：在UNSW-NB15数据集上提高基于机器学习的网络入侵检测系统的性能
3. A Brief Study on Different Intrusions and Machine Learning-based Anomaly Detection Methods in Wireless Sensor Networks [J] . J. Saranya, Dr.G.Padmavathi International Journal of Advanced Networking and Applications . 2015,第7016期

机译：无线传感器网络中不同入侵和基于机器学习的异常检测方法的简要研究
4. Flexible Network-Based Intrusion Detection and Prevention System on Software-Defined Networks [C] . An Le, Phuong Dinh, Hoa Le, International Conference on Advanced Computing and Applications . 2015

机译：基于软件定义网络的灵活的基于网络的入侵检测和防御系统
5. Design and Implementation of a Deep Learning based Intrusion Detection System in Software-Defined Networking Environment [D] . Niyaz, Quamar. 2017

机译：软件定义网络环境下基于深度学习的入侵检测系统的设计与实现
6. Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset [O] . Soulaiman Moualla, Khaldoun Khorzom, Assef Jafar 2021

机译：在UNSW-NB15数据集上提高基于机器学习的网络入侵检测系统的性能
7. A Multi-layer Machine Learning-based Intrusion Detection System for Wireless Sensor Networks [O] . Nada M. Alruhaily, Dina M. 2021

机译：基于多层机器学习的无线传感器网络入侵检测系统

A novel Machine Learning-based Network Intrusion Detection System for Software-Defined Network

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