Controlling false alarm/discovery rates in online internet traffic flow classification
D Nechay, Y Pointurier, M Coates - IEEE INFOCOM 2009, 2009 - ieeexplore.ieee.org
Existing Internet traffic classification techniques achieve impressively low misclassification
rates, but do not provide performance guarantees for particular classes of interest. In this …
rates, but do not provide performance guarantees for particular classes of interest. In this …
Towards the detection of encrypted peer-to-peer file Sharing Traffic and peer-to-peer TV traffic using deep packet inspection methods
DAM De Carvalho - 2009 - search.proquest.com
This dissertation is devoted to the study of Peer-to-Peer (P2P) network traffic identification,
using Deep Packet Inspection (DPI) methods. The approach followed in this work is based …
using Deep Packet Inspection (DPI) methods. The approach followed in this work is based …
Controlling false alarm/discovery rates in online Internet traffic classification
D Nechay - 2010 - escholarship.mcgill.ca
Classifying Internet traffic flows online into applications or broader classes without
inspecting the packet payloads or without relying on port numbers has become a necessity …
inspecting the packet payloads or without relying on port numbers has become a necessity …
Support Vector Machine Detection of Peer-to-Peer Traffic in High-Performance Routers with Packet Sampling: Nonlinear Kernel Approach
FJ González-Castaño… - … Science–ICCS 2007 …, 2007 - Springer
In this paper, we apply nonlinear support vector machines to identify peer-to-peer (p2p)
traffic in high-performance routers with packet sampling. Due to their high port rates, those …
traffic in high-performance routers with packet sampling. Due to their high port rates, those …