Call for Papers ---------------------------------------------------------------------- 5th ACM Workshop on Moving Target Defense (MTD 2018) In conjunction with the 25th ACM Conference on Computer and Communications Security (ACM CCS 2018) October 15-19, 2018, Toronto, Canada Paper Submission Deadline: July 8, 2018 ---------------------------------------------------------------------- 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. WORKSHOP TOPICS: - 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 Notification to authors: July 30, 2018 Camera ready due: August 19, 2018 PAPER 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. ORGANIZING COMMITTEE 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 - Ehab Al-Shaer, University of North Carolina Charlotte - Hasan Cam, U.S. Army Research Laboratory - Ping Chen, Pennsylvania State University - Chun-Jen (James) Chung, Arizona State University - George Cybenko, Dartmouth College - Alessandra De Benedictis, University of Naples, Italy - Scott A. Deloach, Kansas State University- - Robert Erbacher, Army Research Laboratory - Michael Franz, University of California, Irvine - Sushil Jajodia, George Mason University - Myong Kang, NRL - DongSeong (Dan) 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, New Jersey Institute of Technology - Hamed Okhravi, MIT Lincoln Laboratory - Xinming Ou, University of South Florida - Sandeep Pisharody, MIT Lincoln Laboratory - Ahmad-Reza Sadeghi, Technische Universität Darmstadt, Germany - Richard Skowyra, MIT Lincoln Laboratory- - Vipin Swarup, MITRE - Kun Sun, George Mason University - Jason Syversen, Siege Technologies- - Paul C. Van Oorschot, Carleton University, Canada - Sridhar Venkatesan, Vencore Labs - Cliff Wang, U.S. Army Research Office - Michael Wellman, University of Michigan - Minghui Zhu, Pennsylvania State University