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This paper discusses the integration of artificial intelligence, particularly deep learning, into Deep Packet Inspection (DPI) to enhance network security by improving threat detection capabilities. The study evaluates various AI-driven DPI frameworks, demonstrating significant improvements in accuracy and response times compared to traditional methods. The hybrid CNN-LSTM architecture emerged as the most effective approach, effectively addressing challenges such as encrypted traffic and false positives.

Author
hatiim2000
Language
EN

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