5th ACM Workshop on Moving Target Defense (MTD 2018)
October 15, 2108

In conjunction with the 25th ACM Conference on Computer and Communications Security (ACM CCS 2018)
 
October 15-19, 2018, Toronto, Canada

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 significant 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 defenders and attackers – ultimately tilting it in favor of the defender.

The 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. As MTD research is still in its infancy, the list should only be used as a reference. We welcome all contributions 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
  • Intelligent countermeasure selection
  • MTD strategies and planning
  • Deep learning for MTD
  • 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

Important Dates

Paper submission due: July 8, 2018 July 22, 2018 (FIRM)

Notification to authors: July 30, 2018 August 9, 2018

Camera ready due: August 19, 2018

Program Committee Chairs

  • Massimiliano Albanese, George Mason University, USA
  • Dijiang Huang, Arizona State University, USA

Steering Committee

  • Sushil Jajodia, Chair, George Mason University, USA
  • Dijiang Huang, Arizona State University, USA
  • Hamed Okhravi, MIT Lincoln Laboratory, USA
  • Xinming Ou, University of South Florida, USA
  • Kun Sun, George Mason University, USA

Publicity Chair

  • Sandeep Pisharody, MIT Lincoln Laboratory, USA

Technical Program Committee

  • Gail-Joon Ahn, Arizona State University & SAMSUNG Research, USA
  • Alex Bardas, University of Kansas, USA
  • Hasan Cam, U.S. Army Research Laboratory, USA 
  • Valentina Casola, University of Naples, Italy
  • Ritu Chadha, Perspecta Labs, USA
  • George Cybenko, Dartmouth College, USA
  • Alessandra De Benedictis, University of Naples, Italy
  • Robert Erbacher, Army Research Laboratory, USA
  • Michael Franz, University of California, Irvine, USA
  • Sushil Jajodia, George Mason University, USA
  • DongSeong (Dan) Kim, University of Canterbury, New Zealand 
  • Christopher Lamb, University of New Mexico, USA
  • Jason Li, Intelligent Automation Inc., USA
  • Peng Liu, Penn State University, USA
  • Zhuo Lu, University of South Florida, USA
  • Hamed Okhravi, MIT Lincoln Laboratory, USA
  • Sandeep Pisharody, MIT Lincoln Laboratory, USA
  • Shantanu Rane, Palo Alto Research Center (PARC), USA
  • Richard Skowyra, MIT Lincoln Laboratory, USA
  • Kun Sun, George Mason University, USA
  • Vipin Swarup, MITRE, USA
  • Sridhar Venkatesan, Perspecta Labs, USA
  • Cliff Wang, U.S. Army Research Office, USA
  • Michael Wellman, University of Michigan, USA
  • Minghui Zhu, Pennsylvania State University, USA

Invited Speakers

Milind Tambe, University of Southern California

Milind TambeMilind Tambe is Helen N. and Emmett H. Jones Professor in Engineering at the University of Southern California(USC) and the Founding Co-Director of CAIS, the USC Center for Artificial Intelligence in Society, where his research focuses on advancing AI and multiagent systems research for Social Good. He is a fellow of AAAI and ACM, as well as recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award, Christopher Columbus Fellowship Foundation Homeland security award, INFORMS Wagner prize in Operations Research, Rist Prize of the Military Operations Research Society, IBM Faculty Award, Okawa foundation award, RoboCup scientific challenge award, and other awards including the Orange County Engineering Council Outstanding Project Achievement Award, USC Associates award for creativity in research and USC Viterbi use-inspired research award.

Prof. Tambe has contributed several foundational papers in Artificial Intelligence in areas such as intelligent agents and computational game theory; these papers have received over a dozen best paper and influential paper awards at conferences such as AAMAS, IJCAI, IAAI and IVA. In addition, Prof. Tambe pioneering real-world deployments of security games has led him and his team to receive meritorious commendations from the US Coast Guard Commandant, LA Airport Police, and the US Federal Air Marshals Service. For his teaching and mentoring Prof. Tambe has received the USC Steven B. Sample Teaching and Mentoring award; to date 29 PhD students and 11 postdocs have completed their training under his mentorship. Prof. Tambe has also co-founded a company based on his research, Avata Intelligence , where he serves as the director of research. Prof. Tambe received his Ph.D. from the School of Computer Science at Carnegie Mellon University.

Radha Poovendran, University of Washington

Radha PoovendranRadha Poovendran is professor and chair of the Department of Electrical Engineering at the University of Washington. He is the founding director of the Network Security Lab and is a founding member and associate director of research for the UW’s Center for Excellence in Information Assurance Research and Education. He has also been a member of the advisory boards for Information Security Education and Networking Education Outreach at UW. In collaboration with NSF, he served as the chair and principal investigator for a Visioning Workshop on Smart and Connected Communities Research and Education in 2016.

Poovendran’s research focuses on wireless and sensor network security, adversarial modeling, privacy and anonymity in public wireless networks and cyber-physical systems security. He co-authored a book titled Submodularity in Dynamics and Control of Networked Systems and co-edited a book titled Secure Localization and Time Synchronization in Wireless Ad Hoc and Sensor Networks. He is also an associate editor for ACM Transactions on Sensor Networks.

Poovendran is a Fellow of IEEE and has received various awards including Distinguished Alumni Award, ECE Department, University of Maryland, College Park, 2016; NSA LUCITE Rising Star 1999; NSF CAREER 2001; ARO YIP 2002; ONR YIP 2004; PECASE 2005; and Kavli Fellow of the National Academy of Sciences 2007.

Submission

Submitted papers must not substantially overlap with papers that have been published or simultaneously submitted to a journal or a conference with proceedings. Submissions should be at most 10 pages in the ACM double-column format (see https://www.acm.org/publications/proceedings-template), 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 http://www.easychair.org. 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 8, 2018 to be considered. Notification of acceptance or rejection will be sent to authors by July 30, 2018. Camera ready papers must be submitted by August 19, 2018. 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.

Submit now!