Call for Papers

The static nature of current computing systems has made them easy to attack and hard 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 attackers by making systems dynamic and therefore harder to explore and predict. With a constantly changing system and its ever adapting attack surface, attackers will have to deal with a great deal of uncertainty just like defenders do today. The ultimate goal of MTD is to increase the attackers’ workload so as to level the cybersecurity playing field for both defenders and attackers - hopefully even tilting it in favor of the defender.

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 MTD research is still in its 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 and agility
  • Software diversity
  • Dynamic network configuration
  • Moving target in the cloud
  • System diversification techniques
  • Dynamic compilation techniques
  • Adaptive defenses
  • MTD quantification methods and models
  • MTD evaluation and assessment frameworks
  • Large-scale MTD (using multiple techniques)
  • Moving target in software coding, application API virtualization
  • Autonomous technologies for MTD
  • Theoretic study on modeling trade-offs of using MTD approaches
  • Human, social, and usability aspects of MTD
  • Other related areas

Submissions

Paper submissions: 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.

System demo submissions: Each accepted system demo must be demonstrated on site by a registered workshop attendee; then a 2-page description can be included in the proceedings. System demo submissions should be at most 2 pages in the ACM double-column format, excluding well-marked appendices, and at most 4 pages in total. Submitted system demos must not substantially overlap system demos that have been published or that are simultaneously submitted to another conference with proceedings. Submissions are not required to be anonymized.

Submission website: Submissions are to be made to the submission web site at https://easychair.org/conferences/?conf=mtd20170. 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 August, 4, 2017 to be considered. Notification of acceptance or rejection will be sent to authors by September 4, 2017. 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.

Contact: Hamed Okhravi and Xinming Ou, MTD 2017 Program Chairs, mtd2017-0@easychair.org

Important Dates

  • Paper submission due: August 4, 2017 August 18, 2017 Anywhere on Earth (Extended)
  • Notification to authors: September 4, 2017
  • Camera ready due: September 17, 2017

Keynote Speakers

Prof. Paul C. Van Oorschot, Canada Research Chair in Authentication and Computer Security, Carleton University

Title: "Science, Security and Academic Literature: Can We Learn from History?"

Program

TBD

PC Chairs

Hamed Okhravi, MIT Lincoln Laboratory
Xinming Ou, University of South Florida
 

Program Committee

 
Gail-Joon Ahn, Arizona State University
Massimiliano Albanese, George Mason University  
Ehab Al-Shaer, University of North Carolina Charlotte   
Hasan Cam, U.S. Army Research Laboratory  
Ping Chen, Pennsylvania State University
George Cybenko, Dartmouth College
Scott A. Deloach, Kansas State University      
Robert Erbacher, Army Research Laboratory   
Michael Franz, University of California, Irvine   
Dijiang Huang, Arizona State University
Sushil Jajodia, George Mason University
Myong Kang, NRL 
Dan dongseong Kim, University of Canterbury New Zealand 
Christopher Lamb, University of New Mexico
Jason Li, Intelligent Automation Inc.  
Peng Liu, Penn State University    
Zhuo Lu, University of South Florida
Sanjai Narain, Applied Communication Sciences
Iulian Neamtiu, University of California, Riverside  
Richard Skowyra, MIT Lincoln Laboratory    
Vipin Swarup, MITRE, USA
Kun Sun,  College of William and Mary  
Jason Syversen, Siege Technologies    
Cliff Wang, U.S. Army Research Office
Michael Wellman, University of Michigan
Minghui Zhu, Pennsylvania State University