Computer Network Information Center,Chinese Academy of Sciences,Beijing 100190,China ; University of Chinese Academy of Sciences,Beijing 100049,China ; National Engineering Laboratory for Internet Domain Name Management,China Internet Network Information Center,Beijing 100190,China
Zhi-wei YAN,Hong-tao LI,Guang-gang GENG
National Engineering Laboratory for Internet Domain Name Management,China Internet Network Information Center,Beijing 100190,China
The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included blacklist strategies,heuristic methods,visual matching methods,and methods based on machine learning and natural language processing.The comparison and analysis of those methods were given,and furtherly,the challenges and future trends of phishing detection were discussed.
