基于聚类分析的光通信系统异常入侵在线识别  

Online identification of abnormal intrusion in optical communication systems based on cluster analysis

作　　者：余量 文斌[1] YU Liang;WEN Bin(Yunnan Normal University,Kunming 650500,China)

机构地区：[1]云南师范大学,昆明650500

出　　处：《激光杂志》2024年第9期85-90,共6页Laser Journal

基　　金：国家自然科学基金项目(No.62367008);云南省教育科学规划单位资助项目(No.BE22002);云南省教育厅重点实验室建设项目数字化学习支撑技术重点实验室。

摘　　要：光纤脉冲相干光通信系统在信息传输中受到多径干扰,导致对网络异常入侵的检测识别能力不好,为了提高对光通信系统异常入侵的准确识别,提出基于聚类分析的光通信系统异常入侵在线识别方法。首先采用蜂窝传感分布式检测技术实现对光通信系统的传输数据分组采集,其次对采集的数据实施预处理,去除多径噪声干扰,然后采用集成学习算法进行光通信系统异常入侵数据特征提取,并计算光纤脉冲相干光通信系统异常入侵数据的相关参数,最后对提取的特征量进行聚类处理,通过谱聚类分析实现对光纤脉冲相干光通信系统异常入侵在线识别。仿真结果表明,所提方法对异常入侵识别效率高,识别耗时为4.8 s,识别准确性可维持在98%左右,识别能耗为38 J,且受扰动影响较小,抗谐波干扰能力较强。Fiber optic pulse coherent optical communication systems are subject to multipath interference in information transmission,resulting in poor detection and recognition capabilities for network abnormal intrusions.In order to improve the accurate identification of abnormal intrusions in optical communication systems,a clustering analysis based online identification method for abnormal intrusions in optical communication systems is proposed.Firstly,the cellular sensing distributed detection technology is used to realize the packet collection of the transmission data of the optical communication system.Secondly,the collected data is preprocessed to remove multipath noise interference.Then,the Ensemble learning algorithm is used to extract the characteristics of the abnormal intrusion data of the optical communication system,and calculate the relevant parameters of the abnormal intrusion data of the optical pulse coherent optical communication system.Finally,the extracted characteristics are clustered,Through Spectral clustering analysis,the online identification of abnormal intrusion in fiber optic pulse coherent optical communication system is realized.The simulation results show that the proposed method has high efficiency in identifying abnormal intrusions,takes 5 seconds to identify,maintains recognition accuracy at around 98%,consumes 38 J of energy,is less affected by disturbances,and has strong resistance to harmonic interference.

关 键 词：聚类分析 光通信系统 入侵行为识别 光纤脉冲 

分 类 号：TN958[电子电信—信号与信息处理]