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MTD 2015 - 2nd ACM Workshop on Moving Target Defense

Date2015-10-12

Deadline2015-06-08

VenueDenver, Colorado, USA - United States USA - United States

Keywords

Websitehttps://mtd.mobicloud.asu.edu

Topics/Call fo Papers

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 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 a great deal of uncertainty just like defenders do today. The ultimate goal of MTD is to increase the attacker's workload so as to level the cybersecurity playing field for both defenders and attackers - hopefully even tilting it in favor of the defender.
Workshop Goals: 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 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 moving target defense, including research that shows negative results. Below are examples of appropriate topics for MTD 2015:
MTD Techniques
System randomization
Artificial diversity and system diversification
Bio-inspired MTDs
Dynamic network configuration
Cloud-based and Large-scale MTDs (using multiple techniques)
Autonomous technologies for MTD
Dynamic compilation
Moving targets in software coding, application APIs and virtualization
MTD Modeling and Analysis
Analytical models for MTDs
Quantitative models and effective measurement of MTDs
Theoretic study on modeling trade-offs of using MTD approaches
Control and game theory aspects of deploying MTDs
Human, social, and psychology aspects of MTD
Other related MTD areas

Last modified: 2015-04-01 22:07:40