JOURNAL ARTICLE

ST-MemA: Leveraging Swin Transformer and memory-enhanced LSTM for encrypted traffic classification

Zhiyuan LiYujie Jin

Year: 2025 Journal:   Journal of Network and Computer Applications Vol: 243 Pages: 104329-104329   Publisher: Elsevier BV
Keywords:
Transformer Encryption Cryptography Pattern recognition (psychology)

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
23
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Geochemistry and Geologic Mapping
Physical Sciences →  Computer Science →  Artificial Intelligence
Geological Modeling and Analysis
Physical Sciences →  Earth and Planetary Sciences →  Geochemistry and Petrology
Seismic Imaging and Inversion Techniques
Physical Sciences →  Earth and Planetary Sciences →  Geophysics

Related Documents

JOURNAL ARTICLE

NetST: Network Encrypted Traffic Classification Based on Swin Transformer

Jianwei ZhangHongying ZhaoYuan FengZengyu CaiLiang Zhu

Journal:   Computers, materials & continua/Computers, materials & continua (Print) Year: 2025 Vol: 84 (3)Pages: 5279-5298
JOURNAL ARTICLE

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification

Xu-Yang ChenLu HanDe‐Chuan ZhanHan-Jia Ye

Journal:   Proceedings of the AAAI Conference on Artificial Intelligence Year: 2025 Vol: 39 (15)Pages: 15922-15929
JOURNAL ARTICLE

CoTNeT: Contextual transformer network for encrypted traffic classification

Hongwei HuangLu YeShaohua ZhouXingxing ZhangZe Li

Journal:   Egyptian Informatics Journal Year: 2024 Vol: 26 Pages: 100475-100475
JOURNAL ARTICLE

Hybrid compression for LSTM-based encrypted traffic classification model

Qiaoxu MuMeng Zhang

Journal:   International Journal of Wireless and Mobile Computing Year: 2024 Vol: 26 (1)Pages: 61-73
© 2026 ScienceGate Book Chapters — All rights reserved.