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Improving Bee Algorithm Based Feature Selection in Intrusion Detection System Using Membrane Computing

机译：基于膜计算的基于Bee算法的入侵检测系统特征选择改进

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Kazeem I. Rufai; Ravie Ch; Ren Muniy; Zulaiha A. Othman;
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年度 2014
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1. A new feature selection model based on ID3 and bees algorithm for intrusion detection system [J] . ADEL SABRY EESA, ZEYNEP ORMAN, ADNAN MOHSIN ABDULAZEEZ BRIFCANI Turkish Journal of Electrical Engineering and Computer Sciences . 2015,第2期

机译：基于ID3和Bee算法的入侵检测系统新特征选择模型。
2. Improving Intrusion Detection System by Developing Feature Selection Model Based on Firefly Algorithm and Support Vector Machine [J] . Wathiq Laftah Al-Yaseen IAENG Internaitonal journal of computer science . 2019,第4PTa512a644期

机译：基于萤火虫算法的特征选择模型改进入侵检测系统
3. Applying an Improved Elephant Herding Optimization Algorithm with Spark-based Parallelization to Feature Selection for Intrusion Detection [J] . Hui Xu, Qianqian Cao, Heng Fu, International Journal of Performability Engineering . 2019,第6期

机译：应用了一种改进的大象放牧优化算法与火花的并行化与入侵检测特征选择
4. Employing Artificial Bee Colony Algorithm for Feature Selection in Intrusion Detection System [C] . Manisha Rani, Gagandeep International Conference on Computing for Sustainable Global Development . 2021

机译：采用人造蜂菌落算法在入侵检测系统中的特征选择
5. Genetic algorithms for feature selection in an intrusion detection application. [D] . Shi, Fajun. 2000

机译：入侵检测应用程序中用于特征选择的遗传算法。
6. An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application [O] . Dehua Zheng, Zhen Hong, Ning Wang, 2020

机译：改进的基于LDA的ELM分类用于物联网应用的入侵检测算法
7. An efficient algorithmic technique for feature selection in IoT based intrusion detection system [O] . Alok Kumar Pani 2021

机译：基于IOT的入侵检测系统特征选择的高效算法技术

Improving Bee Algorithm Based Feature Selection in Intrusion Detection System Using Membrane Computing

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