Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests-Reference-Cited by-同舟云学术

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Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
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Author:

Akem Aristide Tanyi-Jong¹,Gucciardo Michele¹,Fiore Marco¹

Affiliation:

1. IMDEA Networks Institute,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10228851/10228852/10229100.pdf?arnumber=10229100

Reference47 articles.

1. Knowledge-Defined Networking

2. Can We Trust the Inter-Packet Time for Traffic Classification?

3. In-Network Computation is a Dumb Idea Whose Time Has Come

4. Early Recognition of Encrypted Applications

5. Can the Network be the AI Accelerator?

Cited by 17 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. P4Rex: Accelerating regular expression matching with programmable switches;Computer Networks;2024-10

2. On DGA Detection and Classification Using P4 Programmable Switches;Computers & Security;2024-10

3. Accelerating Ransomware Defenses with Computational Storage Drive-Based API Call Sequence Classification;Proceedings of the 17th Cyber Security Experimentation and Test Workshop;2024-08-13

4. A Machine Learning-Based Toolbox for P4 Programmable Data-Planes;IEEE Transactions on Network and Service Management;2024-08

5. AdaFlow: Efficient In-Network Traffic Classification using Programmable Switches;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

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