This study proposes an enhanced network intrusion detection model. 1D-TCN-ResNet-BiGRU-Multi-Head Attention (TRBMA). aimed at addressing the issues of incomplete learning of temporal features and low accuracy in the classification of malicious traffic found in existing models. The TRBMA model utilizes Temporal Convolutional Networks (TCNs) to improve the ResNet18 architecture and inco... https://parisnaturalfoodes.shop/product-category/erosyn-for-women/
Research on Network Intrusion Detection Model Based on Hybrid Sampling and Deep Learning
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