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作 者:董良杰[1] DONG Liang-jie(Practice and Training Center,Anhui Vocational College of City Management,Hefei 230000,China)
机构地区:[1]安徽城市管理职业学院实验实训中心,安徽合肥230000
出 处:《内蒙古民族大学学报(自然科学版)》2020年第5期377-381,452,共6页Journal of Inner Mongolia Minzu University:Natural Sciences
基 金:国家重点研发计划项目(2017YFC0704100)。
摘 要:为了实现对迁移学习式多模光纤网络的入侵检测能力,提出基于多模式匹配算法的网络安全入侵检测方法.构建迁移学习式多模光纤网络入侵序列统计分析模型,采用模糊信息融合方法进行迁移学习式多模光纤网络入侵大数据融合分析,构建网络入侵的统计特征量,采用判决反馈调节方法进行迁移学习式多模光纤网络入侵信号的特征匹配和信息挖掘,提取迁移学习式多模光纤网络入侵信号的关联特征量,采用谱分析方法,实现对迁移学习式多模光纤网络的多模式入侵序列特征匹配,根据特征匹配结果实现网络入侵检测.仿真结果表明,采用该方法进行迁移学习式多模光纤网络入侵检测的准确概率较高,抗攻击能力较强,具有较好的网络入侵信息挖掘和特征辨识能力.In order to realize the intrusion detection capability of the migration-learning multi-mode optical fi⁃ber network,a network security intrusion detection method based on a multi-pattern matching algorithm is pro⁃posed.The method comprises the following steps:constructing a migration-learning multi-mode optical fiber net⁃work intrusion sequence statistical analysis model,adopting a fuzzy information fusion method to carry out a mi⁃gration-learning multi-mode optical fiber network intrusion large-data fusion analysis,and building a statistical feature quantity of network intrusion.The method of decision feedback adjustment is used for the feature match⁃ing and information mining of the intrusion signals in the migrating learning multi-mode optical fiber network.The correlation characteristic quantity of the intrusion signal of the migration-learning multi-mode optical fiber network is extracted,and the spectrum analysis method is adopted.The multi-mode intrusion sequence character⁃istic matching of the migration-learning multi-mode optical fiber network is realized,and the network intrusion detection is realized according to the characteristic matching result.The simulation results show that the method has the advantage of high accuracy,high anti-attack capability and better capability of network intrusion informa⁃tion mining and feature identification.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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