基于混沌序列的网络异常行为检测系统设计  

Design of Network Abnormal Behavior Detection System Based on Chaotic Sequence

作　　者：陈锋 王斌 CHEN Feng;WANG Bin(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510000,China)

机构地区：[1]南方电网数字电网研究院有限公司,广东广州510000

出　　处：《微型电脑应用》2022年第8期187-190,共4页Microcomputer Applications

摘　　要：当前常采用大数据技术对网络中的异常行为进行检测,系统运算量较高,对设备性能占用较大,实用性较低,为此提出基于混动序列的网络异常行为检测系统设计。文章构建了网络异常行为检测系统硬件部分,包括数据采集、处理、存储分析计算及数据可视化层,利用对网络的数据流频率模式检测分析异常行为存在的可能性。在出现疑似异常行为的情况下,使用网络突变模型计算网络的势函数突变,采用混沌序列算法对相空间网络进行分析运算,确定网络异常行为,实现网络异常行为检测。为了验证系统的有效性,开展了系统测试实验,实验结果显示,设计系统工作时对设备性能占用率较小,同时具有较高的检测准确率,因此所设计的系统存在可行性。At present,big data technology is often used to detect the abnormal behavior in the network,it has a high amount of calculation,takes up a large amount of equipment performance,and has low practicability.Therefore,a new network abnormal behavior detection system is designed based on hybrid sequence.The hardware part of the system is constructed,including data acquisition,processing,storage analysis and calculation and data visualization layer;the possibility of abnormal behavior is detected and analyzed by using the frequency pattern of network data flow.In the case of suspected abnormal behavior,the network mutation model is used to calculate the potential function mutation of the network,and the chaotic sequence algorithm is used to analyze and calculate the phase space network to determine the network abnormal behavior and realize the network abnormal behavior detection.In order to test the system design accuracy,tests are carried out,and the results show that the system has a high detection rate.

关 键 词：网络异常行为 混沌序列 突变模型 相空间网络 数据流频率模式 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]