The detection rates in different datasets.

<div><p>The network intrusion detection system (NIDS) plays a critical role in maintaining network security. However, traditional NIDS relies on a large volume of samples for training, which exhibits insufficient adaptability in rapidly changing network environments and complex attack me...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Congyuan Xu (3338283) (author)
مؤلفون آخرون:	Yong Zhan (523196) (author), Guanghui Chen (316677) (author), Zhiqiang Wang (48987) (author), Siqing Liu (3365894) (author), Weichen Hu (20571031) (author)
منشور في:	2025
الموضوعات:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified positional encoding ensures limited observational scope experimental results indicate attack strategies evolve address sample scarcity network environment due maintaining network security complex attack methods capture temporal dynamics systems often fail range dependencies within model &# 8217 exhibits insufficient adaptability traditional nids relies effectively capture long capture long traditional methods range dependencies temporal sequence network traffic xlink "> train models testing phase shot data respond quickly rare attacks prediction accuracy paper proposes new threats large volume iterative refinement initially trained general foundation facing novel critical role cicids2018 datasets approach leverages although existing
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The detection rates in different datasets.

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