Review paper
A survey of techniques for internet traffic classification using machine learning
Volume: 10, Issue: 4, Pages: 56 - 76
Published: Jan 1, 2008
Abstract
The research community has begun looking for IP traffic classification techniques that do not rely on `well known' TCP or UDP port numbers, or interpreting the contents of packet payloads. New work is emerging on the use of statistical traffic characteristics to assist in the identification and classification process. This survey paper looks at emerging research into the application of Machine Learning (ML) techniques to IP traffic...
Paper Details
Title
A survey of techniques for internet traffic classification using machine learning
Published Date
Jan 1, 2008
Volume
10
Issue
4
Pages
56 - 76
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