云计算环境下混合多样木马群检测技术仿真  

Hybrid Variety Trojan Cloud Computing Environment of Simulation Test Technology

作　　者：金显华[1] 赵元庆[2] 

机构地区：[1]安阳师范学院公共计算机教学部,河南安阳455000 [2]安阳师范学院计算机与信息工程学院,河南安阳455000

出　　处：《微电子学与计算机》2014年第1期132-136,共5页Microelectronics & Computer

基　　金：国家自然科学基金青年基金项目(41001251);河南省科技厅基础与前沿研究项目"分布式网络入侵检测关键技术研究"(112300410129)

摘　　要：提出基于粒子辨别树联合算法的云计算环境下混合多样木马群检测方法.对云计算环境下的木马进行有效的分类处理,根据分类结果构建关联粒子入侵辨别树,利用攻击特征更新理论和更新后密度分布理论完成云计算环境下混合多样木马群的检测.实验结果表明,利用该算法进行云计算环境下混合多样木马群检测,能够有效提高检测效率,降低漏检率.This paper proposes a cloud computing environment based on particle to identify tree algorithm hybrid variety Trojan detection method. According to the related theory, the particle swarm of Trojan cloud computing environment for effective classification processing, which provide data for various Trojan detection based. Establish particles to identify tree, complete hybrid variety Trojan group of cloud computing environment detection. The experimental results show that the algorithm presented in this paper for hybrid variety Trojan detection of cloud computing environment can effectively improve the efficiency of detection, lower miss rate, thus providing security for the network security.

关 键 词：云计算 木马群 粒子辨别树 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]