Phishing detection based Associative Classification data mining
作者：
Highlights：
• The applicability of Associative Classification (AC) on website phishing is investigated.
• New structure of the phishing detection approach is developed.
• A new AC data mining method that generates multiple labels rules is developed.
• Feature assessment of large collection of website features have been carried out.
• Experimental results analysis using different algorithms was performed.
摘要
•The applicability of Associative Classification (AC) on website phishing is investigated.•New structure of the phishing detection approach is developed.•A new AC data mining method that generates multiple labels rules is developed.•Feature assessment of large collection of website features have been carried out.•Experimental results analysis using different algorithms was performed.
论文关键词：Classification,Data mining,Forged websites,Phishing,Internet security
论文评审过程：Available online 27 March 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.019
