LAMBERT: Leveraging Attention Mechanisms to Improve the BERT Fine-Tuning Model for Encrypted Traffic Classification
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- Rahman, Aowabin & Srikumar, Vivek & Smith, Amanda D., 2018. "Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks," Applied Energy, Elsevier, vol. 212(C), pages 372-385.
- Niu, Dongxiao & Yu, Min & Sun, Lijie & Gao, Tian & Wang, Keke, 2022. "Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism," Applied Energy, Elsevier, vol. 313(C).
- Petr Velan & Milan Čermák & Pavel Čeleda & Martin Drašar, 2015. "A survey of methods for encrypted traffic classification and analysis," International Journal of Network Management, John Wiley & Sons, vol. 25(5), pages 355-374, September.
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Keywords
information security; encrypted traffic classification; privacy protection; fine-tuning model; attention mechanism;All these keywords.
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