Review the performance of the Bernoulli Na?ve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features

Mechetin Artur

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Review the performance of the Bernoulli Na?ve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features

机译：通过通过交叉验证选择最佳特征的交叉验证选择来审查伯努利NA？VE贝叶斯分类器的入侵检测系统中的性能

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In this paper I propose a wrapped feature selection method using Recursive Feature Elimination and Cross-validated selection. In my work I use Bernoulli Na?ve Bayes classifier on the NSL-KDD dataset.

机译：在本文中，我提出了一种使用递归功能消除和交叉验证选择的包装特征选择方法。在我的工作中，我在nsl-kdd数据集上使用bernoulli na？ve贝雷斯分类器。

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《Procedia Computer Science》 |2021年第a期|共7页
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Mechetin Artur;
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Network SecurityNSL-KDD datasetBernoulli Na?ve Bayes classifierNa?ve Bayes classifierRFERecursive Feature Eliminaion;

机译：网络SecurityNSL-KDD DataSetbernoulli na？ve Bayes Classifill？ve Bayes ClassifErrefersive功能消除;

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专利

1. An optimal intrusion detection system using recursive feature elimination and ensemble of classifiers [J] . Sharma Neha V, Yadav Narendra Singh Microprocessors and microsystems . 2021,第Sepa期

机译：使用递归特征消除的最佳入侵检测系统和分类器的集合
2. Selecting Features Subsets Based on Support Vector Machine-Recursive Features Elimination and One Dimensional-Na?ve Bayes Classifier using Support Vector Machines for Classification of Prostate and Breast Cancer [J] . Alhadi Bustamam, Anas Bachtiar, Devvi Sarwinda Procedia Computer Science . 2019,第11期

机译：基于支持向量机递归特征消除和使用支持向量机对前列腺癌和乳腺癌进行分类的一维朴素贝叶斯分类器选择特征子集
3. Development of an efficient classifier using proposed sensitivity-based feature selection technique for intrusion detection system [J] . H.S. Hota, Dinesh K. Sharma, A.K. Shrivas International journal of information and computer security . 2018,第1期

机译：使用基于灵敏度的特征选择技术为入侵检测系统开发有效的分类器
4. The Effect of Recursive Feature Elimination with Cross-Validation (RFECV) Feature Selection Algorithm toward Classifier Performance on Credit Card Fraud Detection [C] . Adi Zaenul Mustaqim, Sumarni Adi, Yoga Pristyanto, International Conference on Artificial Intelligence and Computer Science Technology . 2021

机译：递归特征消除对信用卡欺诈检测对分类器性能的跨验证（RFECV）特征选择算法的影响
5. Use of Entropy for Feature Selection with Intrusion Detection System Parameters. [D] . Acker, Frank L. 2015

机译：使用熵进行入侵检测系统参数的特征选择。
6. FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score Recursive Feature Elimination and Logistic Regression to Identify Potential Genomic Biomarkers [O] . Chenyu Ge, Liqun Luo, Jialin Zhang, 2021

机译：FRL：基于Fisher分数的综合特征选择算法递归特征消除和逻辑回归来识别潜在基因组生物标志物
7. Comparative Study on Feature Selection Techniques in Intrusion Detection Systems using Ensemble Classifiers [O] . Bello Nazifi Kagara 2021

机译：集合分类器入侵检测系统特征选择技术的比较研究

Review the performance of the Bernoulli Na?ve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features

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