<b>Secure IoT- Systems with Low-Latency</b>
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In this research, we propose a novel optimized ensemble deep learning-based approach for anomaly-based IDS classification. The proposed approach includes several innovative aspects: initially, raw data are pre-processed, and essential features are extracted using CoffeeNet.
本研究提出一种新颖的优化型集成深度学习方法,用于基于异常的入侵检测系统(Intrusion Detection System, IDS)分类。该方法包含多项创新之处:首先对原始数据进行预处理,并通过CoffeeNet提取关键特征。
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2025-08-19
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