Towards threshold‐agnostic heavy‐hitter classification-Reference-Cited by-同舟云学术

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Towards threshold‐agnostic heavy‐hitter classification

Published:2021-09-29 Issue: Volume: Page:
ISSN:1055-7148
Container-title:International Journal of Network Management
language:en
Short-container-title:Int J Network Mgmt

Author:

Pekar Adrian¹^ORCID,Duque‐Torres Alejandra²^ORCID,Seah Winston K.G.³^ORCID,Caicedo Rendon Oscar M.⁴^ORCID

Affiliation:

1. Department of Networked Systems and Services Budapest University of Technology and Economics Budapest Hungary

2. Institute of Computer Science University of Tartu Tartu Estonia

3. School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

4. Departamento de Telemática Universidad del Cauca Popayán Colombia

Publisher

Wiley

Subject

Computer Networks and Communications,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nem.2188

Reference110 articles.

1. A survey of network anomaly detection techniques

2. Traffic-flow analysis for source-side DDoS recognition on 5G environments

3. A survey of intrusion detection in Internet of Things

4. A survey of network flow applications

5. Pending interest table control management in Named Data Network;Alubady R;J Netw Comput Appl,2018

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1. Utilizing TabNet Deep Learning for Elephant Flow Detection by Analyzing Information in First Packet Headers;Entropy;2024-06-22

2. An Optimized Handover Management Scheme Tailored for Heavy Hitters in a Disaggregated 5G O-RAN Architecture;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

3. Elephant Flow Classification on the First Packet With Neural Networks;IEEE Access;2024

4. Machine Learning-Based Elephant Flow Classification on the First Packet;IEEE Access;2024

5. A Framework for Elephant Flow Detection for SDNs Based on the Classification;Arabian Journal for Science and Engineering;2023-10-16

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