On packet classification using a decision-tree ensemble
Author: 
Dubem EzehAuthors Info & Claims
Dubem EzehAuthors Info & ClaimsPages 17 - 18
Abstract
Different traffic flows get treated differently at routers, depending on the descriptions they fit as well as rules set by network administrators. Today's routers have their work cut out having to categorize these incoming flows based on preconfigured administrative policies. Purely hardware-based traffic classification solutions are expensive, of low capacity and consume a lot of power. This paper proposes the use of machine learning techniques to classify these flows for appropriate action in Software-Defined Networks.
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- On packet classification using a decision-tree ensemble
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Published In
December 2020
35 pages
ISBN:9781450381833
DOI:10.1145/3426746
Copyright © 2020 ACM.
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Published: 11 December 2020
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CoNEXT '20
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CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies
December 1, 2020
Barcelona, Spain
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Overall Acceptance Rate 198 of 789 submissions, 25%
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