Network Anomaly Detection Using Federated Learning and Transfer Learning-Reference-Cited by-同舟云学术

Network Anomaly Detection Using Federated Learning and Transfer Learning

Published:2020 Issue: Volume: Page:219-231
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Zhao Ying,Chen Junjun,Guo Qianling,Teng Jian,Wu Di

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9129-7_16

Reference27 articles.

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3. Shui, Y., Zhou, W., Jia, W., Guo, S., Xiang, Y., Tang, F.: Discriminating ddos attacks from flash crowds using flow correlation coefficient. IEEE Trans. Parallel Distrib. Syst. 23(6), 1073–1080 (2011)

4. Shui, Y., Zhou, W., Doss, R., Jia, W.: Traceback of ddos attacks using entropy variations. IEEE Trans. Parallel Distrib. Syst. 22(3), 412–425 (2010)

5. Shui, Y., Zhou, W., Guo, S., Guo, M.: A feasible ip traceback framework through dynamic deterministic packet marking. IEEE Trans. Comput. 65(5), 1418–1427 (2015)

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