Phishing sites detection based on Url Correlation
Ying Xue, Yang Li, Yuangang Yao, Xianghui Zhao, Jianyi Liu, Ru Zhang · 2016
With the rapid development of the information technology, internet security has drawn more and more attention. Nowadays, most researchers focus on lexical and host features to classify Phishing URLs. In this paper, we proposed Vulnerable Sites List and a new feature which is named URL Correlation. URL Correlation is based on the similarity of URLs with the List above that we created. In addition, a large improvement of accuracy is observed by comparing methods which use our new feature with the others which use the normal one.