ICDM Workshop on
Data Mining for Computer Security (DMSEC)
Melbourne, FL
November 19, 2003
Computer security is a broad field that encompasses issues both
theoretical and practical aspects. It is of incredible importance to
a wide variety of practical domains ranging from the banking industry
to multi-national corporations, from space exploration to the
intelligence community and so on.
Of interest to this workshop are methods that address two aspects of
computer security. The first relates to how computers can be used to
secure the information contained within an organizations. Issues of
critical importance here could include the detection and/or prevention
of unauthorized access or attacks on computers and networks local to
an organization or entity. The second relates to how computers can be
used to detect hostile activity in a sensitive area (such as in an
airport). Such techniques will have to work side by side with
computer vision technology. Data mining techniques are useful in
identifying patterns of activities that can suggest friend or foe.
The technical issues of data mining for computer security fall into
three dimensions:
- Computer security tasks ("what"):
- prevention
- detection
- response
- attribution
- Locations/resources to be protected ("where"):
- network
- operating system
- application
- sensitive geographical location
- Data mining methods ("how")
Many classic data mining issues apply in this domain as well; they
include feature selection, feature construction, incremental/online
learning, noise in the data, skewed data distribution, distributed
mining, correlating multiple models, and efficient processing of large
amounts of data.
Workshop Notes and Slides
Schedule
- Invited speakers: Tom Goldring, National Security Agency and
Sal Stolfo, Columbia University
- Schedule
Attending the Workshop
Important Dates:
- Paper submission deadline: Aug 22, 2003
- Acceptance notification: Sep 30, 2003
- Final version deadline: Oct 17, 2003
- Workshop: Nov 19, 2003
Organizing Committee:
- Philip Chan, Florida Tech, pkc AT cs DOT fit DOT edu
- Vipin Kumar, U. Minnesota, kumar AT cs DOT umn DOT edu
- Wenke Lee, Georgia Tech, wenke AT cc DOT gatech DOT edu
- Srinivasan Parthasarathy, Ohio State U, srini AT cis DOT ohio-state DOT edu
Program Committee:
- Wenke Lee, Georgia Tech (Co-Chair)
- Srinivasan Parthasarathy, Ohio State U (Co-Chair)
- Daniel Barbara, GMU
- Philip Chan, Florida Tech
- Eleazar Eskin, Hebrew U
- Wei Fan, IBM Watson
- Anup Ghosh, DARPA
- Sushil Jajodia, GMU
- Vipin Kumar, U. Minnesota
- Terran Lane, U. New Mexico
- Aleksandar Lazarevic, U. Minnesota
- Richard Lippmann, MIT Lincoln Lab
- Matthew Mahoney, Florida Tech
- Roy Maxion, CMU
- Chris Michael, Cigital
- R. Sekar, Stony Brook U
- Jaideep Srivastava, U. Minnesota
- Salvatore Stolfo, Columbia U
- Kymie Tan, CMU
- Alfonso Valdes, SRI
Philip Chan
Last modified: Fri Dec 5 16:51:51 EST 2003