MTD 2018 - 5th ACM Workshop on Moving Target Defense

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