Architecture-Based Self-Adaptation for Moving Target Defense

Architecture-Based Self-Adaptation for Moving Target Defense Report Title The fundamental premise behind Moving Target Defense (MTD) is to create a dynamic and shifting system that is more difficult to attack than a static system because a constantly changing attack surface at least reduces the chance of an attacker finding and exploiting the weakness. However, MTD approaches are typically chosen without regard to other qualities of the system, such as performance or cost. This report explores the use of self-adaptive systems, in particular those based on the architecture of the running system. A systems software architecture can be used to trade off different quality dimensions of the system. In particular, this report describes the first steps in reasoning formally about MTD approaches, and elevating this reasoning to an architectural level, along three thrusts: (1) creating an initial catalog of MTD tactics that can be used at the architectural level, along with the impacts on security and other quality concerns, (2) using this information to inform proactive self-adaptation that uses predictions of tactic duration to improve the self-adaptation and (3) using stochastic multiplayer games to verify the the behavior of a variety of MTD scenarios, from uninformed to predictive-reactive. This work is applied in the context of the Rainbow self-adaptive framework. Architecture-Based Self-Adaptation for Moving Target Defense Bradley Schmerl∗ Javier Cámara∗ Gabriel A. Moreno∗† David Garlan∗ Andrew Mellinger† August 2014 CMU-ISR-14-109 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 ∗Institute for Software Research, School of Computer Science, Carnegie Mellon University,