Research On Phishing Detection Based On Feature Label

Phishing is a typical online means of online fraud,which refers to the use of deceptive e-mails or forged websites to induce Internet users to disclose their personal privacy.With the rapid development of information technology,the security incidents triggered by phishing are endless.It not only endangers the privacy and property safety of ordinary people's daily life,but also directly threatens the political,military and economic security of the country.Facing the increasingly severe network security situation,this paper studied how to extract and analyze the attributes and features of phishing attacks and how to detect phishing attacks.The main contributions and innovations of this paper include the following aspects:First,constructing the feature tag library of phishing websites.Based on the research and analysis of phishing websites data sets,30 sensitive features are extracted and defined,and the feature tag library of phishing websites is constructed.the research on the sensitive features of phishing websites is still one-sided.In this paper,we defined 30 dimension sensitive features,and constructed a relatively comprehensive phishing website feature tag library.Also,we verified the significance of the extracted features,which expanding the research dimension of phishing website feature engineering;Secondly,constructing the detection model of phishing attack.Based on the constructed feature tag library of phishing website,the related phishing website detection algorithm has been innovated,and the detection model architecture,which including four modules: black and white list detection,feature extraction,phishing detection and visual output,are completed.In a word,based on the extracted sensitive features of phishing websites,this paper realized the detection of phishing attacks,and provided a new idea for the research of more in-depth and rapid defense against phishing attacks.