Author(s)

Wang Lei

Corresponding Author

Wang Lei

Abstract

Accurate detection of abnormal signals in optical fiber communication network can effectively maintain the security of network operation and improve the efficiency of internal system operation. However, at present, the distribution of network nodes in optical fiber communication network is relatively scattered, and the faults are random and uncontrollable, which directly affects the operation security of optical fiber communication network. Under the measurable model, the traditional autonomous sensing analysis method can not accurately determine the abnormal attack signal in the fiber-optic communication network, which leads to low detection efficiency. Therefore, based on the iterative detection principle of abnormal attacks in optical fiber communication networks, this paper studies the iterative detection process of abnormal attacks in optical fiber communication networks, and gives a brief overview of the detection steps, and gives the corresponding training methods, which has important reference value for improving the detection efficiency.

Keywords

Optical Fiber Communication Network; Exception attack; Features; Iterative detection; Simulation