CAJ | 학술논문

网络钓鱼（phishing ）是一种在线欺诈行为，普遍存在于电子商务和电子金融中。将黑白名单方法和异常特征检测方法相结合，针对网络钓鱼网站U RL异常和页面身份异常特点提出基于敏感特征的网络钓鱼网站检测方法---PhishDetector 。使用黑白名单技术对 URL进行拦截，对于名单中不存在的U RL ，提取其敏感特征，然后使用线性分类器判断该网站是否为网络钓鱼网站。实验结果表明，基于敏感特征的网络钓鱼网站检测方法，提高了网络钓鱼网站检测的正确率，显著降低了误判率。
망락조어（phishing ）시일충재선기사행위，보편존재우전자상무화전자금융중。장흑백명단방법화이상특정검측방법상결합，침대망락조어망참U RL이상화혈면신빈이상특점제출기우민감특정적망락조어망참검측방법---PhishDetector 。사용흑백명단기술대 URL진행란절，대우명단중불존재적U RL ，제취기민감특정，연후사용선성분류기판단해망참시부위망락조어망참。실험결과표명，기우민감특정적망락조어망참검측방법，제고료망락조어망참검측적정학솔，현저강저료오판솔。
Phishing is a kind of online fraud which is widespread in the electronic commerce and electronic banking .A method of phishing detection based on sensitive characteristics - PhishDetector is proposed .Firstly ,the black/white list technology is used to intercept URL ,and then the sensitive features of those URL not existing in the lists are extracted , and lastly a phishing webpage is distinguished with a linear classifier .The experimental results show that this method is better both in accuracy and false positive rate .