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

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.