A new prompt engineering-assisted Dynamic Malware Analysis model has been introduced, which can overcome the drawbacks faced in the quality API call sequences deployed for dynamic malware analysis. This new method has been reported to perform detection that surpasses the state-of-the-art TextCNN method. This method uses GPT-4 for the dynamic malware analysis and also uses
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