Cross-domain comparison with traditional methods (Train: CICIDS2017, Test: CICIDS2018, overall).

Cross-domain comparison with traditional methods (Train: CICIDS2017, Test: CICIDS2018, overall).

<p>Cross-domain comparison with traditional methods (Train: CICIDS2017, Test: CICIDS2018, overall).</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Congyuan Xu (3338283) (author)
مؤلفون آخرون: Donghui Li (94039) (author), Zihao Liu (4020458) (author), Jun Yang (2084) (author), Qinfeng Shen (21647973) (author), Ningbing Tong (21647976) (author)
منشور في: 2025
الموضوعات:
Cell Biology
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
two benchmark datasets
obtained via two
modified mamba architecture
improve feature discriminability
branch feature extractor
achieved remarkable progress
substantial domain shifts
network intrusion detection
limited attack samples
jointly capture spatial
frequency domain features
frequency domain characteristics
domain feature fusion
world scenarios characterized
attention </ p
domain bidirectional cross
domain scenarios
domain fusion
frequency domains
domain generalization
query samples
network traffic
capture long
bidirectional cross
attention module
attention mechanism
traffic sequences
thereby proving
temporal patterns
spectral structure
shot setting
shot conditions
semantic gap
range dependencies
practical applicability
outperforming state
method adopts
extensive experiments
enables deep
dct ),
art methods
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