New rule-based phishing detection method
作者：
Highlights：
• We propose two feature sets to determine the webpage identity.
• Our proposed features do not have any dependency to 3rd-party services.
• We proposed a rule-based method by extracting the hidden knowledge from our model.
• We provide an extension called PhishDetector to detect phishing attacks.
• Experiments show that PhishDetector detects zero-day phishing with high accuracy.
摘要
•We propose two feature sets to determine the webpage identity.•Our proposed features do not have any dependency to 3rd-party services.•We proposed a rule-based method by extracting the hidden knowledge from our model.•We provide an extension called PhishDetector to detect phishing attacks.•Experiments show that PhishDetector detects zero-day phishing with high accuracy.
论文关键词：Phishing,Internet banking,Classification,SVM,Sensitivity analysis,Browser extension,Rule-based
论文评审过程：Received 9 December 2014, Revised 17 January 2016, Accepted 18 January 2016, Available online 27 January 2016, Version of Record 16 February 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.028
