Resource allocation with fuzzy logic based network optimization and security analysis in optical communication network-Reference-Cited by-同舟云学术

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Resource allocation with fuzzy logic based network optimization and security analysis in optical communication network

Published:2023-11-10 Issue:14 Volume:55 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Rani Hannah Jessie,Gupta Rupal,Dadhich Atul,Gupta Sachin,Swetha G.,Kolluru Dakshinamurthy V.,Subrahmanyam Kodukula

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05576-0.pdf

Reference19 articles.

1. Abdelli, K., Cho, J.Y., Azendorf, F., Griesser, H., Tropschug, C., Pachnicke, S.: Machine-learning-based anomaly detection in optical fiber monitoring. J. Opt. Commun. Netw. 14(5), 365–375 (2022)

2. Aibin, M., Chung, N., Gordon, T., Lyford, L., Vinchoff, C.: On short-and long-term traffic prediction in optical networks using machine learning. In: 2021 International Conference on Optical Network Design and Modeling (ONDM), (pp. 1–6). IEEE, (2021)

3. Alwabisi, S., Ouni, R., Saleem, K.: Using machine learning and software-defined networking to detect and mitigate DDoS attacks in fiber-optic networks. Electronics 11(23), 4065 (2022)

4. Bao, B., Yang, H., Yao, Q., Guan, L., Zhang, J., Cheriet, M.: Resource allocation with edge-cloud collaborative traffic prediction in integrated radio and optical networks. IEEE Access 11, 7067–7077 (2023)

5. Bensalem, M., Singh, S. K., Jukan, A.: On detecting and preventing jamming attacks with machine learning in optical networks. In: 2019 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE, (2019)

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