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IEEE/ICACT20260037 Slide.05        [Big Slide]	Oral Presentation
	Our core solution has around three main contributions: Record and Train: We use a container-based bait system to record malicious data, creating a rich dataset for continuous learning. Parallel Analysis: We deploy parallel AI modules to identify and classify attack styles, ignoring confusing "false" instructions. Voting & Discovery: We use a "voting mechanism" to classify known attacks and flag new, potential threats for analysis. Next is our related work

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