摘要
提出了一种新的高速网格入侵检测系统模型,将入侵检测系统部署于网格环境,并采用基于特征匹配的检测技术;为了实现网格中各种资源使用的负载均衡,采用改进的遗传算法进行任务的分配;为了实现对分布式攻击的检测,采用数据融合和频繁模式挖掘技术进行报警的合成与关联分析。该模型不仅能够利用网格资源进行攻击检测,而且实现了网格资源使用的负载均衡。
A new model of high speed Grid Intrusion Detection System grid environment and uses signature matching based detection technique. is presented which deploys the IDS in the In order to realize the load balance between the grid resources, an improved genetic algorithm is used to perform task allocation. In addition and frequent pattern mining technique are used to perform alert aggregation and correlation which can h distributed attack detection. This new model not only utilizes the grid resource to detect attack but also grid resource and realizes load balance.
出处
《科学技术与工程》
2008年第1期91-95,100,共6页
Science Technology and Engineering
关键词
网格
入侵检测
特征匹配
遗传算法
grid intrusion detection signature matching genetic algorithm ata fusion to realize y exploits
