Light source and light path identification method for optical network based on spectral analysis

Abstract

The invention discloses a light source and light path identification method of an optical network based on spectral analysis. The method first identifies the light source through a light source classification model based on artificial intelligence technology, and then pre-stores the basic parameters of the optical signal in the spectrum identification database. The relevant business information of the light source is compared and verified. After the verification is passed, the identified light source is a legal light source. Correspondingly, the optical signal transmitted by the node is a legal signal, which realizes a more effective identification of legal signals and illegal signals, and improves Optical Network Security. In addition, the optical path is also identified through the optical path classification model based on artificial intelligence technology. The optical path classification model is trained by using massive training data, and the optical path recognition effect is better.

Description

technical field [0001] The invention relates to the technical field of optical networks, in particular to a light source and an optical path identification method of an optical network based on spectrum analysis. Background technique [0002] The characteristics of the optical network itself make it have a variety of security risks at the physical layer, and face various threats such as eavesdropping, crosstalk attacks, and information tampering. During the attack process, illegal signals different from network legal signals will be introduced, but the existing technology It is impossible to realize the perception and identification of illegal signal intrusion or physical layer attack on the optical network physical layer, and the technology urgently needs a breakthrough. Traditional optical network physical layer security protection mostly judges and monitors attacks through physical layer parameters such as signal strength and time domain characteristics. However, for ille...

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Problems solved by technology

[0002] The characteristics of the optical network itself make it have a variety of security risks at the physical layer, and face various threats such as eavesdropping, crosstalk attacks, and information tampering. During the attack process, illegal signals different from network legal signals will be introduced, but the existing technology It is impossible to realize the perception and identification of illegal signal intrusion or physical layer attack on the optical network physical layer, and the technology urgently needs a breakthrough

Traditional optical network physical layer security protection mostly judges and monitors attacks through physical layer parameters such as signal strength and time domain characteristics. However, for illegal signal intrusion attacks, there is currently no effective means to perceive and monitor illegal signal intrusions at the physical layer. identification, let alone providing a systematic security protection solution in a diverse and complex security threat environment

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