An improved NSGA-III algorithm for feature selection used in intrusion detection

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• 作者：Yingying Zhu ; Junwei Liang ; Jianyong Chen ; ^{jychen@szu.edu.cn} ; Zhong Ming
• 关键词：Feature selection ; Many-objective optimization ; Network anomaly detection ; IDS
• 刊名：Knowledge-Based Systems
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：116
• 期：Complete
• 页码：74-85
• 全文大小：1442 K
• 卷排序：116

文摘

A scheme for the many-objective problem is proposed for feature selection in IDS. An improved many-objective optimization algorithm (I-NSGA-III) is proposed. I-NSGA-III can alleviate the imbalance problem in feature selection.