The results in the CICIDS2018 dataset.

The results in the CICIDS2018 dataset.

<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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Bibliographic Details
Main Author: Congyuan Xu (3338283) (author)
Other Authors: Yong Zhan (523196) (author), Guanghui Chen (316677) (author), Zhiqiang Wang (48987) (author), Siqing Liu (3365894) (author), Weichen Hu (20571031) (author)
Published: 2025
Subjects:
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
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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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