Building auto-adaptive distributed applications: the QuO-APOD experience

Exploiting autonomic adaptation in defending a distributed application is a relatively new research area. We describe how the QuO adaptive middleware was used to implement auto-adaptive defenses ranging from simple rapid response sensor-actuator tactics to more sophisticated containment and outrun strategies. In addition, we report on two experiments where live red team attacks were used to evaluate our auto-adaptive defense technology.