基于云计算平台的光通信入侵信号识别系统

Optical communication intrusion signal identification system based on cloud computing platform

针对入侵信号识别系统漏识率较高,光通信网络安全受限的问题,基于云计算平台,设计了一种新的光通信入侵信号识别系统。选择CCD采集器采集信号,采用AD9240芯片作为处理器的核心处理器,利用TCD1501D型光敏阵列识别信号;通过计算光栅变动,感知光通信系统中的入侵信号频率及时域特征,采用编码-解码框架训练入侵信号集,预测传输路径,解析入侵信号的携带信息,完成光通信入侵信号识别。实验结果表明,基于云计算平台的光通信入侵信号识别系统能够较好地实现数据挖掘,降低识别系统的漏识率。

Aiming at the problems of high leakage rate of intrusion signal recognition system and limited security of optical communication network,a new optical communication intrusion signal recognition system is designed based on cloud computing platform.CCD collector is selected to collect the signal,AD9240 chip is used as the core processor of the processor,and TCD1501 D photosensitive array is used to identify the signal;By calculating the grating change,sensing the frequency and time domain characteristics of the intrusion signal in the optical communication system,using the coding decoding framework to train the intrusion signal set,predict the transmission path,analyze the information carried by the intrusion signal,and complete the optical communication intrusion signal recognition.The experimental results show that the optical communication intrusion signal recognition system based on cloud computing platform can well realize data mining and reduce the miss rate of the recognition system.