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[PVS] [qest-announce] SpeciaI Issue of Computer Networks on TrafficClassification

[please apologize for receiving multiple copies]


Call for Papers
Special Issue of Computer Networks on “Traffic 
classification and its applications to modern networks”

The evolution of the Internet in the last few 
years has been characterized by dramatic changes
to the way users behave, interact and utilize the 
network. The research community and many
network operators are responding to these changes 
by designing and deploying traffic
measurement and classification architectures of 
increasing complexity. In fact, the observation
of network traffic is at the core of many 
fundamental network research, operation and
maintenance activities, such as the 
implementation of Quality of Service guarantees, traffic
engineering, intrusion prevention and detection. 
However, the rapid introduction of new
categories of applications such as network games 
and peer-to-peer, the increasing presence of
malicious traffic, and the widespread use of 
encryption techniques, make the measurement,
analysis and classification of Internet traffic a 
challenging task. The research community is
therefore asked to tackle traffic classification 
issues by focusing on the design of novel
algorithms capable of overcoming the limitations 
of packet inspection techniques, which are
quickly becoming ineffective. Similarly, new 
distributed classification architectures and realtime
traffic classification platforms must be defined 
to cope with current and future high-speed
networks. Finally, the importance of preserving 
the users’ privacy and the need to reduce the
amount of traffic that is collected, stored and 
processed are increasingly seen as some of the
major issues that are limiting the progress in this area of research.

------------------ Scope of Contributions ---------------
This issue is devoted to cutting-edge research 
achievements in the area of traffic classification,
dealing with topics such as novel classification 
techniques, data privacy, distributed
classification architectures, and emerging 
applications of traffic classifiers. We solicit papers
that present original and unpublished work on 
topics including, but not limited to, the
• Traffic classification algorithms and techniques
• Platforms for on-line, real-time traffic classification
• Comparisons among traffic classification techniques
• Privacy-preserving classification techniques
• Identification and classification of encrypted traffic
• Impact of sampling on network traffic classification
• Applications of traffic classification
• Data-reduction techniques for traffic traces
• Anonymization tools and their effects on traffic classification
• Interfaces and architectures for the storage of traffic traces

------------------- Manuscript Submission -----------
Prospective authors are invited to prepare their 
papers according to the “Guide to Authors”
available at http://www.elsevier.com/locate/comnet, and submit to
http://www.editorialmanager.com/comnet, choosing 
“Article Type: SI-Traffic Classification”.
Requests for further information may be addressed to the guest editors:
mellia@tlc.polito.it, pescape@unina.it and luca.salgarelli@ing.unibs.it.

----------------- Important Dates -------------------------
Manuscripts due: May 1, 2008
Notification to authors: September 10, 2008
Revised papers due: October 15, 2008
Accepted, revised papers to production: October 30, 2008
Publication: late 2008/early 2009

----------------- Guest Editors ------------------------------
Marco Mellia, Politecnico di Torino, mellia@tlc.polito.it
Antonio Pescapè, Università di Napoli “Federico II”, pescape@unina.it
Luca Salgarelli, Università di Brescia, luca.salgarelli@ing.unibs.it

Antonio Pescapè
Dipartimento di Informatica e Sistemistica
University of Napoli ''Federico II''
Via Claudio, 21 - 80125, Napoli (Italy) [Room n. 3.10]
tel. +39 081 7683856 – fax +39 081 7683816
e-mail : pescape@unina.it (or pescape@ieee.org)
Personal web-page: http://wpage.unina.it/pescape
Teaching web-site (in Italian): http://www.docenti.unina.it/pescape

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