Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks-Reference-Cited by-同舟云学术

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Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks

Published:2024-09-12 Issue:4 Volume:32 Page:
ISSN:1064-7570
Container-title:Journal of Network and Systems Management
language:en
Short-container-title:J Netw Syst Manage

Author:

Zacaron Alexandro Marcelo,Lent Daniel Matheus Brandão,da Silva Ruffo Vitor Gabriel,Carvalho Luiz Fernando,Proença Mario Lemes

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10922-024-09867-z.pdf

Reference66 articles.

1. Yurekten, O., Demirci, M.: Sdn-based cyber defense: a survey. Futur. Gener. Comput. Syst. 115, 126–149 (2021). https://doi.org/10.1016/j.future.2020.09.006

2. Shahriyar, M.M., Saha, G., Bhattacharjee, B., Reaz, R.: Deft: distributed, elastic, and fault-tolerant state management of network functions. In: 2023 19th International Conference on Network and Service Management (CNSM), pp. 1–7 (2023). https://doi.org/10.23919/CNSM59352.2023.10327813

3. Coelho, B.L., Schaeffer-Filho, A.E.: Crossbal: data and control plane cooperation for efficient and scalable network load balancing. In: 2023 19th International Conference on Network and Service Management (CNSM), pp. 1–9 (2023). https://doi.org/10.23919/CNSM59352.2023.10327790

4. Chiaro, C., Monaco, D., Sacco, A., Casetti, C., Marchetto, G.: Latency-aware scheduling in the cloud-edge continuum. In: NOMS 2024-2024 IEEE Network Operations and Management Symposium, pp. 1–5 (2024). https://doi.org/10.1109/NOMS59830.2024.10575183

5. Zhang, P., He, F., Zhang, H., Hu, J., Huang, X., Wang, J., Yin, X., Zhu, H., Li, Y.: Real-time malicious traffic detection with online isolation forest over sd-wan. IEEE Trans. Inf. Forensics Secur. 18, 2076–2090 (2023). https://doi.org/10.1109/TIFS.2023.3262121

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