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Traffic-flow analysis for source-side DDoS recognition on 5G environments

  • Published:2019-06 Issue: Volume:136 Page:114-131
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Sotelo Monge Marco Antonio,Herranz González Andrés,Lorenzo Fernández Borja,Maestre Vidal Diego,Rius García Guillermo,Maestre Vidal Jorge

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference112 articles.

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DTL-5G: Deep transfer learning-based DDoS attack detection in 5G and beyond networks;Computer Communications;2024-12

2. An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-06

3. Energy efficiency in 5G systems: A systematic literature review;International Journal of Knowledge-based and Intelligent Engineering Systems;2023-12-21

4. Performance Evaluation of a Novel Intrusion Detection System in Next Generation Networks;IEEE Transactions on Network and Service Management;2023-09

5. DDoS attack detection using unsupervised federated learning for 5G networks and beyond;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06
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