Attention-CNN-Intrusion-Detection-System
⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is proposed, incorporating a multiplicative attention mechanism into the CNN classification model. The training results on the KDD99 and UNSW-NB15 datasets outperform conventional machine learning methods and CNN
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