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FIRE-G: Bidirectional flow interaction-based recognition of encrypted malicious IoT traffic via graph neural networks

Kang Liu · Lian Liu · Xinyu Li · Zhihao Xv
10.1007/s44443-026-00840-1 428 Views 0 Citations
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Abstract not available for this publication.
Cite this Article (APA)
Kang, L., Lian, L., Xinyu, L., Zhihao, X. (2026). FIRE-G: Bidirectional flow interaction-based recognition of encrypted malicious IoT traffic via graph neural networks. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00840-1
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Published in
ISSN 1319-1578
Quartile Q1
AMS Score 100
Field Computer Science & AI
Publisher Elsevier / King Saud University
Country 🇸🇦 Saudi Arabia
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Publication Details
Year 2026
Language English
Added 06 Jul 2026