光纤传感网络入侵痕迹信息实时检测系统设计
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摘要
针对传统的光纤传感网络入侵痕迹信息检测系统存在的检测准确性低、误检率高、检测时间较长的问题,提出一种基于数据挖掘的光纤网络入侵痕迹信息检测系统,首先对检测系统进行提取和分析,寻找解决入侵痕迹信息的有效方法,对检测到的光纤传感网络入侵痕迹信息进行警告,将系统分为正常和异常两类问题;其次,构建基于数据挖掘的光纤传感网络入侵痕迹信息检测系统,将数据挖掘方法输入到光纤网络系统分类分析模块中,在输入数据挖掘后的检测系统中结合入侵检测引擎以及关联分析器检测光纤传感网络入侵痕迹信息。仿真实验结果表明,所提检测系统较传统检测系统检测准确率更高,误检率更低,检测效率较高。
Aiming at the problems of low detection accuracy,high false detection rate and long detection time of traditional optical fiber sensor network intrusion trace information detection system,a data mining based optical network intrusion trace information detection system is proposed. The detection system performs extraction and analysis. First,find an effective method to solve the intrusion trace information,warn the detected intrusion trace information of the optical fiber sensor network,and divide the system into two types: normal and abnormal. Secondly,constructs optical fiber sensing for data mining. The network intrusion trace information detection system inputs the data mining method into the classification analysis module,and combines the intrusion detection engine and the correlation analyzer to detect the intrusion trace information of the optical fiber sensing network in the detection system. Finally,the simulation experiment results show that compared with the traditional detection system,the accuracy of the proposed detection system is higher,the false detection rate is lower,and the detection efficiency is higher.
Aiming at the problems of low detection accuracy,high false detection rate and long detection time of traditional optical fiber sensor network intrusion trace information detection system,a data mining based optical network intrusion trace information detection system is proposed. The detection system performs extraction and analysis. First,find an effective method to solve the intrusion trace information,warn the detected intrusion trace information of the optical fiber sensor network,and divide the system into two types: normal and abnormal. Secondly,constructs optical fiber sensing for data mining. The network intrusion trace information detection system inputs the data mining method into the classification analysis module,and combines the intrusion detection engine and the correlation analyzer to detect the intrusion trace information of the optical fiber sensing network in the detection system. Finally,the simulation experiment results show that compared with the traditional detection system,the accuracy of the proposed detection system is higher,the false detection rate is lower,and the detection efficiency is higher.
引文
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[16]崔光磊,衣文索,张叶浩,等.双马赫-曾德尔分布式光纤扰动监测系统设计[J].吉林大学学报(信息科学版),2017(6):590-596.
[2]安尼瓦尔·加马力,亚森·艾则孜,木尼拉·塔里甫.基于连接数据分析和OSELM分类器的网络入侵检测系统[J].计算机应用研究,2017,34(12):3749-3752.
[3]戴一帆,张志伟.基于光纤传感的液体浓度检测系统设计[J].光学与光电技术,2016,14(6):63-66.
[4]高妮,高岭,贺毅岳.面向入侵检测系统的Deep Belief Nets模型[J].系统工程与电子技术,2016,38(9):2201-2207.
[5]陈珊,刘太君,龙丹桂,等.周界入侵检测系统宽带滤波器的设计及优化[J].微波学报,2017,33(4):85-89.
[6]杨永强.自适应气体检测光子晶体光纤传感器设计[J].传感器与微系统,2016,35(5):121-123.
[7]崔光磊,衣文索,张叶浩,等.双马赫-曾德尔分布式光纤扰动监测系统设计[J].吉林大学学报(信息科学版),2017(6):590-596.
[8]裴世鑫,崔芬萍,谢欣桐.基于光纤干涉的温度与压力传感实验系统设计与实现[J].大学物理,2018,37(5):52-56.
[9]骆湘红,何宁,王明鹏,等.基于相干探测的激光超声检测系统设计与实现[J].激光与红外,2017(11):1339-1342.
[10]徐云水,邬卓恒,梁仕斌,等.基于光纤传感网的高压输电塔线状态监测系统[J].软件,2017,38(11):29-35.
[11]黄孙新.智能化光纤传感器系统设计及应用研究[J].科技创新与应用,2017(18):64-64.
[12]张燕君,刘文哲,付兴虎.基于BSS和BPNN-DS算法的光纤入侵传感网络信息的高精度识别[J].光学学报,2016(1):32-40.
[13]顾胜坚,江友华.基于分布式光纤的电力电缆健康状态监测与可视化技术研究[J].仪表技术,2017(1):1-4.
[14]李哲哲,白清,张瑜,等.采空区沉降监测的BOTDR光纤传感技术[J].仪表技术与传感器,2017(12):12-15.
[15]俞佳捷,吴忠平,吴笑.基于光纤传感技术的输电线路在线监测技术的研究[J].工业设计,2017(10):133-134.
[16]崔光磊,衣文索,张叶浩,等.双马赫-曾德尔分布式光纤扰动监测系统设计[J].吉林大学学报(信息科学版),2017(6):590-596.