摘要：Malicious code-based attacks are increasing day by day and attack techniques are becoming morediverse. Detection technology is evolving, but defense systems that detect new malware are not yetcomplete. There is little research on the detection method by prediction of infection. Conventional predictivemodeling is mostly macroscopic analysis and has limitations in prediction. However, in this paper, we applythe Markov chain model to the Landing website to predict the malicious code infection, and propose aneffective method to detect and prevent it. Actual malicious code detected data is used, and average valueapplied to predictive modeling is the most predictive result of recent 6 months data.
关键词：Malware; Markov Chain; Infection Prediction; Prediction Model
