Using AI Models to Increase the Security of Optical Communication Networks

Modern information infrastructure relies mainly on optical communication systems that provide high-speed, low latency and reliable international data transmission. General security mechanisms, designed primarily for high-level communications, are often insufficient to protect against external influences. This article presents the use of artificial intelligence models to detect attacks that may occur in optical communication networks. This led to the development of a convolutional neural network model that trains normal and adversarial signals to simulate optical signals. The results show that the proposed model shows an overall accuracy of 96.3% with a loss of less than 5%. Adding artificial intelligence (AI)-based models to network protection systems, our proposed approach enhances the resilience and stability of optical communication networks against threats from the outside.

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