Research on Behavior-based Trojan Identification Model

摘要：

　　Trojan has threatened the security of computers and internet since its advent and it has been constantly updated, so how to detect and kill Trojan horse is always a crucial subject of network security.This thesis firstly presents the concept and principle of Trojan horse, then summarizes mainstream Trojan-detection technology, after that focus on Trojan horse detection which based on behavior analysis and the application of the Na(i)ve Bayes algorithm, on this basis, combining monitoring technology, a Trojan horse detection model based-on behavior analysis was proposed.By using dual classification this model can analyze and judge the suspicious behavior, and effectively detect Trojans variants and the new ones, thus improve the accuracy of Trojan horse detection.

关键词： Trojan horse detection behavior analysis Bayes classification Monitoring

作者: Haiyan Wang Lijuan Wu Limei Huang

作者单位: College of Computer and Electronic Information, Guangxi University, Nanning, 530004, China Information Network Center, Guangxi University, Nanning, 530004, China

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 648-654

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）