Network traffic foundation models: A systematic review
Top Cited Papers
Open Access
- 8 January 2026
- journal article
- review article
- Published by Elsevier in Computer Networks
- Vol. 276
Abstract
No abstract availableFunding Information
- European Regional Development Fund (ED431G 2023/01)
- CISUG
- Xunta de Galicia
- Universidade da Coruña
- Government of Spain Ministry of Universities (FPU22/04418)
- European Commission
This publication has 49 references indexed in Scilit:
- Transformers in speech processing: Overcoming challenges and paving the futureComputer Science Review, 2025
- EAPT: An encrypted traffic classification model via adversarial pre-trained transformersComputer Networks, 2024
- PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networksAd Hoc Networks, 2024
- A novel approach for application classification with encrypted traffic using BERT and packet headersComputer Networks, 2024
- CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classificationComputers & Security, 2024
- Deep learning for encrypted traffic classification in the face of data drift: An empirical studyComputer Networks, 2023
- CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone linesData in Brief, 2023
- Fine-grained TLS services classification with reject optionComputer Networks, 2022
- MIMETIC: Mobile encrypted traffic classification using multimodal deep learningComputer Networks, 2019
- An empirical comparison of botnet detection methodsComputers & Security, 2014