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 techniquesk
Dynamic compilation techniques
Adaptive defenses
Analytical models for MTD
Large-scale MTD (using multiple techniques)