AN ANALYSIS MEATHOD FOR MALICIOUS LINKS DETECTION BASED ON WEBPAGE SCRIPT TEXT

摘要

With the popularity of web applications, the phenomenon of web falsified and spreading of the trojan and virus via web vulnerabilities is becoming increasingly common. To solve this problem, we use a web script text feature analysis for webpage, discussed of the status of security-related analysis. Firstly, according to the current analysis of trojan web links and existing problems, we propose a model for webpage links analysis whin its source code, and describe the security-related algorithm of web links. After that we describe the algorithm with mathematical language. Finally, we analyze and summarize the experimental results, and verify the reliability and rationality of algorithm.