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CALL FOR PAPERS …

Tags: ad hoc networks, body of literature, classical aspects, classification theory, core problem, data acquisition, dynamic models, fundamental performance limits, graphical models, learning theory, mobile ad hoc networks, network information theory, network surveillance, probabilistic methods, recent advances in intrusion detection, sensor networks, statistical estimation, statistical methods, statistical pattern recognition, substantial body,
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Created: Wed Sep 26 22:17:37 2007
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                                                      CALL FOR PAPERS

 IEEE Transactions on Information Forensics and Security:
          Special Issue on Statistical Methods for Network Security and Forensics
Recently, probabilistic methods have gained importance in various aspects of network security and forensics. Such methods
are at the forefront of recent advances in intrusion detection, but also underlie distributed detection and estimation for sensor
networks and information-theoretic approaches to network security. In the context of intrusion detection, statistical pattern
recognition is a core problem which can be addressed using methods from Bayesian theory, learning theory, graphical
models, and data mining. Data acquisition, processing, and inference in sensor networks also leverages a substantial body of
literature on statistical estimation, detection, and classification theory. At the same time, new developments in network
information theory have led to renewed interest in classical aspects of information-theoretic security, such as wiretapping, as
well as new areas of work, such as network coding applications to security. Many advances in network information theory
revolve around wireless networks and sensor networks, areas in which a shared medium and rich, variable topologies, create
particularly challenging problems. Information theory has proven useful both for determining the fundamental performance
limits of such systems, including jamming and novel countermeasures, e.g., coding techniques in networks.

The goals of the special issue are to provide the reader with an overview of the state of the art in this field, and to collect
significant research results. Possible topics for papers submitted to the special issue include, but are not limited to:

     Intrusion, masquerade, and anomality detection
     Network scaling issues
     Network surveillance
     Dynamic models for mobile ad-hoc networks
     Distributed sensing, estimation, detection, and classification
     Information theory for secrecy in wireless networks
     Advances in the wiretap channel
     Eavesdropping and jamming in wireless networks
     Network information theory for Byzantine attacks
     Security aspects of network coding

IMPORTANT DATES
Paper submission deadline                1 October 2007 extended to 15 October 2007
Completion of first round of reviews     2 January 2008
Final review and selection of papers     1 May 2008
Final manuscripts to IEEE                1 June 2008
Publication of the Special Issue         1 September 2008

INSTRUCTIONS FOR MANUSCRIPTS
Manuscripts should be submitted electronically by following the information for authors at:
http://www.ieee.org/organizations/society/sp/tifs.html
Both the manuscripts and cover letter should be clearly marked to indicate that they are being submitted for consideration for this Special
Issue. They will be logged and sent to the Special Issue Editors for review. Both full-length regular papers and short papers will be
considered, subject to the normal Transactions page limits. Papers must not have been published previously or submitted for publication
elsewhere. All papers will be reviewed by following the guidelines of the transactions.

GUEST EDITORS
Muriel Medard, MIT, Cambridge, Massachusetts, USA (Lead Guest Editor)
Christina Fragouli, EPFL, Switzerland
Wenke Lee, Georgia Tech, Atlanta, Georgia, USA
Roy Maxion, Carnegie-Mellon University, Pittsburgh, Pennsylvania, USA
Sal Stolfo, Columbia University, New York, New York, USA
Lang Tong, Cornell University, Ithaca, New York, USA