A Special Issue of Quality and Reliability Engineering International on:
Computer Network Security
NONG YE, Guest Editor
Arizona State University
The objective of this special issue is to promote research and
development on statistical data analysis for computer network
security. As we increasingly rely on computer network systems
to support critical operations in defense, banking, telecommunication,
transportation, electric power and many other systems, computer network =
security must be maintained to assure the availability, integrity and
confidentiality of computer network systems. Intrusions into computer
network systems have presented significant threats to computer
network security. Statistical data analysis is required to lay the
foundation for preventing, detecting, tolerating, and responding to
intrusions, and thus assuring computer network security.
Special characteristics of computer network systems and data from
those systems have presented considerable challenges and unique
opportunities for researchers in the field of quality/reliability
engineering to develop and advance theories and techniques of
statistical data analysis for computer system security.
Through this special issue, we wish to highlight the growing
attention given to research into this new frontier.
This special issue solicits papers reporting research work,
case studies, and technology development that address
quality/reliability problems for computer network security
and statistical data analysis to tackle those problems.
Some examples of quality/reliability problems for computer
network security are listed below:
Risk analysis and assessment to reveal vulnerabilities
of computer network systems;
Reliability analysis of program code;
Process modeling and analysis to detect intrusions; and
Design of redundancy for intrusion tolerance.
Papers addressing other quality/reliability problems for computer
network security are also welcome.
Schedule:
Submit the draft manuscript by: September 30, 2001
Submit the final manuscript after review by: December 31, 2001
Publication expected: March/April issue 2002
Submittal:
Authors should submit an original and two photocopies of their
manuscript - with 12 point type, double spaced - to:
Nong Ye, Associate Professor
Department of Industrial Engineering
Arizona State University
Box 875906
Tempe, Arizona 85287, USA
e-mail: nongye@asu.edu
work phone: [1] 480-965-7812
Each submittal must:
contain a cover letter with the contact information
(contact name, postal address, e-mail address, and work phone number);
follow the instructions in "Notes for Contributors" of
Quality and reliability Engineering International which can be
found at www.interscience.wiley.com;
not be under consideration elsewhere.
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Nong Ye, Ph.D. Associate Professor, Director
Information and Systems Assurance Laboratory
PO Box 875906
Arizona State University
1711 S. Rural Road, Goldwater Center, Room 502
Tempe, Arizona 85287-5906, USA
Phone: (480) 965-7812
Fax: (480) 965-8692
Email: nongye@asu.edu
http://ceaspub.eas.asu.edu/ye/
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