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LCN
2005
IEEE
14 years 1 months ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
CCS
2007
ACM
13 years 11 months ago
Highly efficient techniques for network forensics
Given a history of packet transmissions and an excerpt of a possible packet payload, the payload attribution problem requires the identification of sources, destinations and the t...
Miroslav Ponec, Paul Giura, Hervé Brön...
PAM
2005
Springer
14 years 1 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
INFOCOM
2002
IEEE
14 years 15 days ago
Clock Synchronization Algorithms for Network Measurements
Abstract—Packet delay traces are important measurements for analyzing end-to-end performance and for designing traffic control algorithms in computer networks. Due to the fact t...
Li Zhang, Zhen Liu, Cathy H. Xia
CAMAD
2006
IEEE
13 years 11 months ago
A packet-level characterization of network traffic
In this paper we show results from a packet-level traffic characterization aiming at finding spatial and temporal invariances of TCP based applications, such as HTTP and SMTP. We d...
Alberto Dainotti, Antonio Pescapè, Giorgio ...