Call For Papers

		Machine Learning for Computer Security
	Special Issue in Journal of Machine Learning Research

As computers have become more ubiquitous and connected, their security
has become a major concern. Of interest to this special issue is
research that demonstrates how machine learning (and data mining)
techniques can be used to improve computer security. This includes
efforts directed at improving security of networks, hosts, and
individual applications or computer programs.

More Details at the above URL.

Important Dates:

    * Submission Deadline: March 15, 2006
    * Notification: May 15, 2006 

Guest Editors:

    * Philip Chan, Florida Tech
    * Richard Lippmann, MIT Lincoln Lab


    * Philip Chan, Florida Tech
    * Robert Cunningham, MIT Lincoln Lab
    * Wei Fan, IBM Watson Research Center
    * Anup Ghosh, DARPA
    * Tom Goldring, NSA
    * Sushil Jajodia, George Mason Univ.
    * Chris Kruegel, Technical University Vienna
    * Vipin Kumar, Univ. of Minnesota
    * Terran Lane, Univ. of New Mexico
    * Wenke Lee, Georgia Tech
    * Richard Lippmann, MIT Lincoln Lab
    * Matthew Mahoney, Florida Tech
    * Roy Maxion, Carnegie Mellon Univ.
    * Chris Michael, Cigital
    * Srinivasan Parthasarathy, Ohio State Univ.
    * R. Sekar, Stony Brook Univ.
    * Jude Shavlik, Univ. of Wisconsin
    * Salvatore Stolfo, Columbia Univ.
    * Alfonso Valdes, SRI