A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
作者：
Highlights：
• A modified version of the cuttlefish algorithm is discussed.
• The proposed model can be used as a novel feature-selection model.
• Cuttlefish algorithm is used as a search strategy to find optimal subset of features.
• Decision tree is used to evaluate the quality of the selected features.
• Data pre-processing for feature selection is also examined in the paper.
摘要
•A modified version of the cuttlefish algorithm is discussed.•The proposed model can be used as a novel feature-selection model.•Cuttlefish algorithm is used as a search strategy to find optimal subset of features.•Decision tree is used to evaluate the quality of the selected features.•Data pre-processing for feature selection is also examined in the paper.
论文关键词：Feature selection,Cuttlefish algorithm,Intrusion detection systems,Decision trees,ID3 algorithm
论文评审过程：Available online 15 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.009
