In order to obtain the high precision automatic identification result of the intrusion behavior of optical communication system

an automatic identification technology of the intrusion behavior of optical communication system based on deep learning is proposed. Firstly

the fiber Bragg grating sensing technology is used to collect the intrusion behavior signal

and then the feature vector of the intrusion is extracted from the signal. Finally

the intrusion behavior recognition model of the optical communication system is established by using the deep learning network

and the simulation experiment is carried out. As a result

this method can automatically identify the intrusion behavior of high-precision optical communication system and reduce the error of automatic identification of intrusion behavior of optical communication system.