Overview
Topic status: We're looking for students to study this topic.
Cyber systems are particular examples of complex systems. Any description of their resilience, whether for operational or financial purposes, requires an appropriate metric to provide objective and replicable assessments of such resilient capability and capacity. Existing concepts of resilience have been applied extensively in ecology and to a lesser extent on organisations. While some work is available examining infrastructure systems it does not have the benefit of validated models that can detail the value of acquiring or developing resilient capabilities to aid continuity of operations.
The proposed work will expand existing knowledge bases by investigating new approaches to conceptualising and measuring resilience. Following the general principle that disturbances locally in a system can have knock-on effects at the macro level, our stochastic modelling approach will be to describe such multi-scale resilience in terms of self-similarity (long memory), a feature typical of many dynamical systems. We anticipate this will serve to describe the extent and persistence of disturbances which challenge a system's resilience and ongoing functionality.
We also aim to evaluate the cost of providing resilience in such systems using Statistical Allocation Cost Theory (SACT), so as to identify how system dynamics affects the financial value of the system, and in particular to model the wider institutional value of resilience and losses of it.
- Study level
- Honours
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
- Please contact the supervisor.
Professor Vo Anh
Dr Paul Barnes
