CALL FOR PAPERS ACM MTD 2016 Third ACM Workshop on Moving Target Defense (MTD 2016) In conjunction with the 23rd ACM Conference on Computer and Communications = Security (CCS) October 24-28, 2016, Vienna, Austria URL: https://s2.ist.psu.edu/MTD-2016/ PAPER SUBMISSION DEADLINE July 27, 2016 ************************************************************* The static nature of current computing systems has made them easy to attack= and harder to defend. Adversaries have an asymmetric advantage in that the= y 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 movi= ng-target defense (MTD) is to impose the same asymmetric disadvantage on at= tackers by making systems dynamic and therefore harder to explore and predi= ct. With a constantly changing system and its ever adapting attack surface,= attackers will have to deal with a great deal of uncertainty just like def= enders do today. The ultimate goal of MTD is to increase the attackers' wor= kload 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 de= fense, and to have productive discussion and constructive debate on this to= pic. We solicit paper and system demo submissions on original research in t= he broad area of MTD, with possible topics such as those listed below. Sinc= e 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 mo= ving 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 MTD quantification methods and models Large-scale MTD (using multiple techniques) Moving target in software coding, application APIs virtualization Autonomous technologies for MTD Theoretic study on modeling trade-offs of using MTD Human, social, and psychology aspects of MTD Other related areas SUBMISSION WEB SITE ------------------------ Submission web site: Both paper and system demo submissions are to be made = to the submission web site at https://easychair.org/conferences/?conf=3Dmtd= 20160 Submissions should be at most 10 pages in the ACM double-column format, exc= luding well-marked appendices, and at most 12 pages in total. Submissions a= re not required to be anonymized. IMPORTANT DATES --------------- Paper submission due: July 27, 2016 [FIRM] Notification to authors: September 5, 2016 Camera ready due: September 12, 2016 Workshop date: October 24, 2016 CONFERENCE ORGANIZING COMMITTEE Program Co-Chairs ----------------- Peng Liu, Penn State University Cliff Wang, U.S. Army Research Office TECHNICAL PROGRAM COMMITTE --------------------------- Gail-Joon Ahn, Arizona State University Massimiliano Albanese, George Mason University Hasan Cam, U.S. Army Research Laboratory Ping Chen, Pennsylvania State University Scott A. Deloach, Kansas State University Robert Erbacher, Army Research Laboratory Michael Franz, University of California, Irvine Jason Hamlet, Sandia National Laboratories Trent Jaeger, Pennsylvania State University Sushil Jajodia, George Mason University Myong Kang, NRL Srikanth Krishnamurthy, University of California, Riverside Christopher Lamb, University of New Mexico Karl Levitt, University of California, Davis Jason Li, Intelligent Automation Inc. Zhuo Lu, University of Memphis Patrick McDaniel, Penn State University Sanjai Narain, Applied Communication Sciences Iulian Neamtiu, University of California, Riverside Hamed Okhravi, MIT Lincoln Laboratory Simon Ou, University of South Florida Vipin Swarup, MITRE, USA Kun Sun, College of William and Mary Jason Syversen, Siege Technologies Michael Wellman, University of Michigan Minghui Zhu, Pennsylvania State University