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A Hybrid Adaptive Development Algorithm and Machine Learning Based Method for Intrusion Detection and Prevention System

机译：一种混合自适应开发算法和基于机器学习的入侵检测和防止系统方法

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K. NandhaKumar Et. al.;
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1. CYBER SECURITY BASED MACHINE LEARNING ALGORITHMS APPLIED TO INDUSTRY 4.0 APPLICATION CASE: DEVELOPMENT OF NETWORK INTRUSION DETECTION SYSTEM USING HYBRID METHOD [J] . SARA TAMY, HICHAM BELHADAOUI, NABILA RABBAH, Journal of Theoretical and Applied Information Technology . 2020,第12期

机译：基于网络安全的机器学习算法应用于工业4.0应用案例：使用混合方法开发网络入侵检测系统
2. Enhance of Extreme Learning Machine-Genetic Algorithm Hybrid Based on Intrusion Detection System [J] . Mohammed Hasan Ali, Mohamad Fadli Zolkipli, Mohammed Abdulameer Mohammed, Journal of Engineering & Applied Sciences . 2017,第16期

机译：基于入侵检测系统的基于入侵检测系统的极端学习机遗传算法混合
3. Adaptive Framework for Network Intrusion Detection by Using Genetic-Based Machine Learning Algorithm [J] . Wafa S. Al-Sharafat, Reyadh Sh.Naoum International journal of computer science and network security . 2009,第4期

机译：基于遗传机器学习算法的网络入侵检测自适应框架
4. A Framework of Novel Feature Set Extraction based Intrusion Detection System for Internet of Things using Hybrid Machine Learning Algorithms [C] . M. Nivaashini, P. Thangaraj 2018 International Conference on Computing, Power and Communication Technologies . 2018

机译：基于混合机器学习算法的新型基于特征集提取的物联网入侵检测系统框架
5. Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems [D] . Stefanova, Zheni Svetoslavova. 2018

机译：用于网络入侵检测和入侵防御系统的机器学习方法
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. Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms [O] . Jiadong Ren, Jiawei Guo, Wang Qian, 2019

机译：基于机器学习算法使用混合数据优化构建有效入侵检测系统

A Hybrid Adaptive Development Algorithm and Machine Learning Based Method for Intrusion Detection and Prevention System

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