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Anomaly intrusion detection using multiobjective genetic fuzzy system and agent-based evolutionary computation framework

机译：基于多目标遗传模糊系统和基于代理的进化计算框架的异常入侵检测

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Chi-ho Tsang; Sam Kwong; Hanli Wang;
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年度 2005
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1. CHAOS MULTIOBJECTIVE EVOLUTIONARY BASED TECHNIQUE TO OBTAIN ACCURATE SOLUTIONS IN INTRUSION DETECTION SYSTEMS [J] . Sunitha Guruprasad, Rio D’Souza G. L. Indian Journal of Computer Science and Engineering . 2020,第2期

机译：混沌多目标进化基于基于技术的入侵检测系统准确解决方案
2. Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection [J] . Tsang CH, Kwong S, Wang HL Pattern Recognition: The Journal of the Pattern Recognition Society . 2007,第9期

机译：遗传模糊规则挖掘方法与特征选择技术在异常入侵检测中的应用
3. A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems [J] . Elhag Salma, Fernandez Alberto, Altalhi Abdulrahman, Soft computing: A fusion of foundations, methodologies and applications . 2019,第4期

机译：一种多目标进化模糊系统，可在入侵检测系统中获得广泛准确的溶液集
4. Anomaly intrusion detection using multi-objective genetic fuzzy system and agent-based evolutionary computation framework [C] . Chi-Ho Tsang, Sam Kwong, Hanli Wang . 2005

机译：基于多目标遗传模糊系统和基于Agent的进化计算框架的异常入侵检测
5. An agent-based intrusion detection system using fuzzy logic for computer system threat evaluation. [D] . Hamed, Essam M. 2001

机译：使用模糊逻辑的基于代理的入侵检测系统，用于计算机系统威胁评估。
6. Intelligent Agent-Based Intrusion Detection System Using Enhanced Multiclass SVM [O] . S. Ganapathy, P. Yogesh, A. Kannan 2012

机译：使用增强型多类SVM的基于智能代理的入侵检测系统
7. An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions [O] . Charles R. Haag, Gary B. Lamont, Paul D. Williams, 2009

机译：人工免疫系统启发的多目标进化算法及其在分布式计算机网络入侵检测中的应用
8. Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions [R] . Haag, C. R. 2007

机译：人工免疫系统激励多目标进化算法在分布式计算机网络入侵检测中的应用

Anomaly intrusion detection using multiobjective genetic fuzzy system and agent-based evolutionary computation framework

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