Automhs-gpt: automated model and hyperparameter selection with generative pre-trained model

HIGHLIGHTS

• What: This work proposes AutoMHS-GPT system that uses generative artificial intelligence to reduce the time it takes to define hyperparameters and models when implementing machine learning to detect threats in vehicular networks. This work implements the intelligence service, security service, and centralized training. of a target neighbor using multiple pseudo-IDs to mask the identity of the real attacker. VeReMi Dataset: First, the authors evaluate the performance of three frameworks on VeReMi dataset, with six different classes. For the this first dataset, the authors evaluate the F1-score and display the results in Figure 5.
 



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