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MTD 2014 : First ACM Workshop on Moving Target Defense


When Nov 3, 2014 - Nov 3, 2014
Where Scottsdale, AZ, USA
Submission Deadline Jul 29, 2014
Notification Due Aug 22, 2014
Final Version Due Sep 5, 2014

Call For Papers

[Apologies if you receive multiple copies of this message]


** Deadline extended: July 29, 2014 (midnight anywhere in the world) **

1st ACM Workshop on Moving Target Defense (MTD 2014)
Scottsdale, Arizona, USA -- November 3, 2014
in conjunction with the 21st ACM Conference on Computer
and Communications Security (CCS)

The static nature of current computing systems has made them easy to
attack and harder to defend. Adversaries have an asymmetric advantage
in that they have the time to study a system, identify its
vulnerabilities, and choose the time and place of attack to gain the
maximum benefit. The idea of moving-target defense (MTD) is to impose
the same asymmetric disadvantage on the attacker by making systems
dynamic and harder to predict. With a constantly changing system and
its ever adapting attack surface, the attacker will have to deal with
a great deal of uncertainty just like defenders do today. The
ultimate goal is to level the cybersecurity playing field for
defenders versus attackers.

This workshop seeks to bring together researchers from academia,
government, and industry to report on the latest research efforts
on moving-target defense, and to have productive discussion and
constructive debate on this topic. We solicit submissions on original
research in the broad area of MTD, with possible topics such as those
listed below. Since this is still a research area in a nascent stage,
the list should only be used as a reference. We welcome all works
that fall under the broad scope of moving target defense, including
research that shows negative results.
- System randomization
- Artificial diversity
- Cyber maneuver
- Bio-inspired defenses
- Dynamic network configuration
- Moving target in the cloud
- System diversification techniques
- Dynamic compilation techniques
- Adaptive defenses
- Analytical models for MTD
- Large-scale MTD (using multiple techniques)
- ...

Submitted papers must not substantially overlap papers that have been
published or that are simultaneously submitted to a journal or a
conference with proceedings. Submissions should be at most 10 pages
in the ACM double-column format, excluding well-marked appendices,
and at most 12 pages in total.
Submissions are not required to be anonymized.

Submissions are to be made to the submission web site at
Only PDF files will be accepted.
Submissions not meeting these guidelines risk rejection without
consideration of their merits. Papers must be received by the
deadline of July 1, 2014 to be considered. Notification of acceptance
or rejection will be sent to authors by August 10, 2014. Authors of
accepted papers must guarantee that one of the authors will register
and present the paper at the workshop. Proceedings of the workshop
will be available on a CD to the workshop attendees and will become
part of the ACM Digital Library.

Paper submissions due: July 29, 2014 (midnight anywhere in the world)
Notification to authors: August 22, 2014
Camera-ready due: September 5, 2014 (FIRM DEADLINE)

Cliff Wang, ARO
Dijiang Huang, Arizona State University

Sushil Jajodia, George Mason University
Kun Sun, George Mason University

Massimiliano Albanese, George Mason University
Ehab Al-Shaer, UNC-Charlotte
George Cybenko, Dartmouth College
Alessandra De Benedictis, University of Naples
Scott DeLoach, Kansas State University
Yuval Elovici, Ben-Gurion University
Rob Erbacher, ARL
Michael Franz, UC-Irvine
Dijiang Huang, Arizona State University
Angelos Keromytis, Columbia University
Jason Li, Intelligent Automation, Inc
Peng Liu, Penn State University
Tom Longstaff, NSA
Patrick McDaniel, Penn State University
Prasant Mohapatra, University of California at Davis
Sanjai Narain, Applied Communication Sciences
Xinming Ou, Kansas State University
Radha Poovendran, Washington University
Kui Ren, University of Buffalo
Vipin Swarup, The MITRE Corporation
Cliff Wang, ARO
Zhan Wang, Chinese Academy of Sciences

Sara Foresti, University of Milan

Chong Guan, Chinese Academy of Sciences

This call for papers and additional information about the workshop
can be found at

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