ResNet50-CBAM structure diagram.

<div><p>In light of the increasing threat posed by cyberattacks, it is imperative for organizations to accurately identify malicious network traffic. However, the imbalance among various attack categories diminishes the accuracy of model predictions. To address this issue, we propose the...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Qingfeng Li (1524259) (author)
مؤلفون آخرون:	Boyu Wang (383447) (author), Xueyan Wen (15253382) (author), Yuao Chen (21354330) (author)
منشور في:	2025
الموضوعات:	Biotechnology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified utilize dpdk along slow convergence speed increasing threat posed generate control traffic experimental results indicate ensuring broad applicability enables preemptive measures compile filtering rules assign greater weight thereby preventing overfitting network security threats model &# 8217 improved attention mechanism attention mechanism thereby facilitating residual network model predictions model leverages xlink "> significantly aids resnet based rapid response operating systems middleware platforms learning performance innovative solution impressive 99 headless client expressive capability early detection data collections bpf compiler balanced representation attack data accurate identification abnormal data 83 %,
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ResNet50-CBAM structure diagram.

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