[Tccc] CFP: Special Issue of Computer Networks on Traffic classification and its applications to modern networks
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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 We solicit papers that present original and unpublished work on topics including, but not limited to, the following: Traffic classification algorithms and techniques Platforms for on-line, real-time traffic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
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------------------------------------------------------------- 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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Antonio Pescape'