Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text

作者：

Highlights：

• Adaptive Neuro-Fuzzy Inference System based robust scheme provide more accuracy

• Combine features text, images & frames for phishing detection proof more detection

• This is the first work that reflects the best unified text, image and frame feature

• Using SVM for phishing web classification and relate the use with the current result

• The proposed solution achieves 98.3% accuracies

摘要

•Adaptive Neuro-Fuzzy Inference System based robust scheme provide more accuracy•Combine features text, images & frames for phishing detection proof more detection•This is the first work that reflects the best unified text, image and frame feature•Using SVM for phishing web classification and relate the use with the current result•The proposed solution achieves 98.3% accuracies

论文关键词：Phishing,Support vector machine,ANFIS,Online transaction,Intelligent system

论文评审过程：Received 25 April 2018, Revised 29 July 2018, Accepted 29 July 2018, Available online 4 August 2018, Version of Record 17 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.067