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Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection

机译：基于机器学习的分布式拒绝服务攻击检测关于特征选择的入侵检测系统

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Ahmad Azhari; Arif Wirawan Muhammad; Cik Feresa Mohd Foozy;
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年度 2020
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1. Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection [J] . Arif Wirawan Muhammad, Cik Feresa Mohd Foozy, Ahmad Azhari International Journal of Artificial Intelligence Research . 2020,第1期

机译：基于机器学习的分布式拒绝服务攻击检测关于特征选择的入侵检测系统
2. 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
3. A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections [J] . Ran Tao, Li Yang, Lu Peng, International journal of information security and privacy . 2010,第1期

机译：基于主机的入侵检测系统，利用体系结构功能改进复杂的拒绝服务攻击检测
4. Denial of Service attack in AODV friend features extraction to design detection engine for intrusion detection system in Mobile Adhoc Network [C] . Shahnawaz Husain, Gupta S. C., Mukesh Chand . 2011

机译：AODV中的拒绝服务攻击和朋友特征提取，以设计用于移动Adhoc网络中的入侵检测系统的检测引擎
5. Detection and Explanation of Distributed Denial of Service (DDoS) Attack Through Interpretable Machine Learning [D] . Das, Saikat. 2021

机译：通过可解释机学习的分布式拒绝服务（DDOS）攻击的检测与解释
6. Error-Robust Distributed Denial of Service Attack Detection Based on an Average Common Feature Extraction Technique [O] . João Paulo Abreu Maranhão, João Paulo Carvalho Lustosa da Costa, Edison Pignaton de Freitas, 2020

机译：基于平均公共特征提取技术的服务攻击检测误差稳健分布式拒绝
7. A Distributed Network Intrusion Detection System for Distributed Denial of Service Attacks in Vehicular Ad Hoc Network [O] . Ying Gao, Hongrui Wu, Binjie Song, 2019

机译：用于车辆临时网络中的分布式拒绝服务攻击的分布式网络入侵检测系统

Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection

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