期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：3
页码：171-178
DOI：10.14257/ijhit.2016.9.3.16
出版社：SERSC
摘要：Rapid Propagation of malicious program has caused great harm to the security of user information, the traditional way of killing methods, which is lagging behind and non- intelligent, has been unable to meet the demand of current detection. Studying the new malicious detection method on Windows Platform, screening out intelligent detection rules model feature of malicious executable and extracting the new malicious program detection methods based on data mining. Introducing the sample data processing and feature selection process, analyzing and simulating the new classification method, the result shows that the malicious program model can effectively improve the detection accuracy and reduce the rate of false negatives and false positives.
关键词：Coal mining data; Data mining; Class label prediction; Na.ve bays ; classifier; Artificial neural network; Decision tree model
