A New Ensemble Model for Phishing Detection Based on Hybrid Cumulative Feature Selection

2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)(2021)

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摘要
A New Ensemble Model for Phishing Detection Based on Hybrid Cumulative Feature Selection(PDCFS) proposes a model that partitions the main dataset into $n$ partitions based on the features available in the dataset. This process is done by feeding the dataset into multiple feature selection methods: Chi-Square, Gain Ratio, Information Gain, Pearson Correlation Coefficient, and Principal Components A...
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关键词
Training,Support vector machines,Correlation coefficient,Phishing,Feature extraction,Information filters,Random forests
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