大数据环境下复杂网络入侵数据智能检测平台设计  

Design of intelligent detection platform for complex network intrusion data under big data environment

作　　者：张永[1] 杨学[1] ZHANG Yong;YANG Xue(Tianjin University of Technology,Tianjin 300191,China)

机构地区：[1]天津理工大学,天津300191

出　　处：《现代电子技术》2019年第8期183-186,共4页Modern Electronics Technique

基　　金：国家自然科学基金(11226147)~~

摘　　要：现有复杂网络入侵数据检测平台易受环境因素影响,检测准确度无法满足实际需求,为此,提出并设计了一种大数据环境下复杂网络入侵数据智能检测平台。该平台由产生层、逻辑层、输出层三部分组成,利用产生层对复杂网络数据进行捕获,为平台设计提供基础;利用逻辑层对数据进行预处理、数据特征提取以及数据存储;输出层主要包括检测模块与响应模块,负责输出检测结果,并做出响应。平台中的检测程序通过复杂网络入侵数据智能检测软件完成。实验结果表明,该平台检测准确度可高达83%,且能有效避免网络环境的影响,稳定性较强。The existing complex network intrusion data detection platforms can be easily affected by environmental factors,and their detection accuracies cannot meet the actual requirements. Therefore,an intelligent detection platform for complex network intrusion data under big data environment is proposed and designed. The platform is composed of three parts of generation layer,logic layer and output layer. The generation layer is used to capture the complex network data,and provide the basis for platform design. The logic layer is used to perform data preprocessing,data feature extraction and data storage. The output layer which mainly includes the detection module and response module is responsible for outputting detection results and making responses. The detection program in the platform is completed by using the intelligent detection software of complex network intrusion data. The experimental results show that the platform has a detection accuracy of as high as 83%,can effectively avoid the influence of network environment,and has a strong stability.

关 键 词：复杂网络 入侵数据 智能检测 网络环境 数据捕获 检测程序 

分 类 号：TN926-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]