基于云计算平台的网络入侵检测算法研究与实现  

Research and implementation of network intrusion detection algorithm based on cloud computing platform

作　　者：王珂[1] 张洁[1] 

机构地区：[1]郑州旅游职业学院信息工程系,河南郑州450000

出　　处：《现代电子技术》2016年第19期76-79,共4页Modern Electronics Technique

摘　　要：利用并行化思想,在现有入侵检测算法GA遗传算法和BP神经算法的基础上,提出基于云计算平台的网络入侵检测算法MR GA-BP均值法算法,并对算法原理进行描述、建立、设计,系统能够针对海量入侵的检测数据进行实时学习和检测,对比传统入侵检测系统,在效率和精度上有了较大提高,通过两组对比实验,证明了该优化算法MR GA-BP均值法算法在入侵检测系统中的可行性以及性能优势。On the basis of paralell thought, genetic algorithm （GA） and BP algorithm for intrusion detection, a mean value algorithm of network intrusion detection algorithm （MR GA-BP） based on cloud computing platform is proposed. The principle of the algorithm is described, established and designed. The system can learn and detect the massive intrusion detection data in real time. In comparison with the traditional intrusion detection system, the efficiency and accuracy of the system have been improved a lot. The feasibility and performance advantage of MR GA-BP mean value algorithm in intrusion detection system were verified in the experiment of contrast between the two groups.

关 键 词：云计算 入侵检测系统 MRGA-BP均值法 HADOOP 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TM417[自动化与计算机技术—计算机科学与技术]