Optical fiber eavesdropping positioning method and system based on machine learning and electronic equipment

Abstract

The invention discloses an optical fiber eavesdropping positioning method and system based on machine learning and electronic equipment, and the method comprises the steps: collecting the historical signal information of an optical fiber channel, and the historical signal information comprising eavesdropping condition information and channel performance information; training by using an artificialneural network algorithm according to the historical signal information to obtain an artificial neural network model for eavesdropping positioning; collecting current signal information of the optical fiber channel, and judging whether the current signal information has an eavesdropping behavior or not; and if the eavesdropping behavior exists, taking the current signal information as the input vector of the artificial neural network model, and determining the position of the eavesdropping point according to the output vector of the artificial neural network model. According to the invention,refined processing is carried out on optical communication physical layer data by using an artificial neural network algorithm, thereby realizing intelligent positioning of optical fiber eavesdropping; and comprehensive analysis and calculation are carried out through the eye pattern of the optical fiber channel and the parameter difference, and eavesdropping positioning is carried out.

Description

technical field [0001] The invention relates to the technical field of communication security, in particular to a machine learning-based optical fiber wiretapping positioning method, system and electronic equipment. Background technique [0002] By the beginning of 2019, the total length of my country's optical cables exceeded 44.7 million kilometers, and the number of optical fiber access users exceeded 300 million. The optical communication rate and distance have been greatly improved, and the openness of optical networks has been significantly enhanced. Existing optical communications cannot resist line or node eavesdropping attacks, and face the risk of information being hijacked by "wired" and "serialized", posing a serious threat to the high-speed interconnection security of key information infrastructure. Therefore, it is necessary for us to pay enough attention to the protection of communication optical cable lines. While promoting its rapid development, we should f...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to propose a machine learning-based optical fiber wiretapping positioning method, system and electronic equipment, the core of which is to use the data processing and analysis capabilities of artificial intelligence to analyze the physical layer data of optical communication systems. Intelligent analysis and fine-grained processing help to solve complex problems such as the positioning of illegal wiretapping, realize the intelligent positioning of illegal wiretapping of optical cables, enhance the ability of information anti-interception, and ultimately improve communication security

Images