INC: In-Network Classification of Botnet Propagation at Line Rate-Reference-Cited by-同舟云学术

INC: In-Network Classification of Botnet Propagation at Line Rate

Published:2022 Issue: Volume: Page:551-569
ISSN:0302-9743
Container-title:Computer Security – ESORICS 2022
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Author:

Friday Kurt,Kfoury Elie,Bou-Harb Elias,Crichigno Jorge

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17140-6_27

Reference37 articles.

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2. Antonakakis, M., et al.: Understanding the mirai botnet. In: 26th $$\{$$USENIX$$\}$$ security symposium ($$\{$$USENIX$$\}$$ Security 17), pp. 1093–1110 (2017)

3. Barradas, D., Santos, N., Rodrigues, L., Signorello, S., Ramos, F.M., Madeira, A.: FlowLens: enabling efficient flow classification for ml-based network security applications. In: Proceedings of the 28th Network and Distributed System Security Symposium, San Diego, CA, USA (2021)

4. Bosshart, P., et al.: P4: programming protocol-independent packet processors. ACM SIGCOMM Comput. Commun. Rev. 44(3), 87–95 (2014)

5. CAIDA (2021). http://www.caida.org/data/passive/passive_dataset.xml

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