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A survey of techniques for internet traffic classification using machine learning
TLDR
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. Expand
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A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
TLDR
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Expand
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Automated traffic classification and application identification using machine learning
TLDR
We propose a novel method for traffic classification and identification of network applications responsible for network traffic flows based on statistical flow properties. Expand
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A survey of covert channels and countermeasures in computer network protocols
TLDR
This article is a survey of the existing techniques for creating covert channels in widely deployed network and application protocols. Expand
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A Framework for IP Based Virtual Private Networks
TLDR
This document describes a framework for Virtual Private Networks (VPNs) running across IP backbones. Expand
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Support for Multicast over UNI 3.0/3.1 based ATM Networks
TLDR
Mapping the connectionless IP multicast service over the connection oriented ATM services provided by UNI 3.1 is a non-trivial task. Expand
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Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
TLDR
We propose training the classifier on a combination of short sub-flows (extracted from full-flow examples of the target application's traffic). We demonstrate this optimisation using the naive Bayes ML algorithm and show that our approach results in excellent performance even when classification is initiated mid-way through a flow with windows as small as 25 packets long. Expand
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A Survey of Rate Adaptation Techniques for Dynamic Adaptive Streaming Over HTTP
TLDR
A survey paper looks at emerging research into the application of client-side, server-side and in-network rate adaptation techniques to support DASH-based content delivery. Expand
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Securing BGP — A Literature Survey
TLDR
This paper examines the Internet's routing architecture and the design of BGP in particular, and surveys the work to date on securing BGP. Expand
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Timely and Continuous Machine-Learning-Based Classification for Interactive IP Traffic
TLDR
We propose to use statistics derived from sub-flows, a small number of most recent packets taken at any point in a flow's lifetime, for the identification of first-person-shooter online game and VoIP traffic. Expand
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