ADMORPH: Adaptive, dynamically morphing, mission and safety-critical CPS (oS).
|Start Date||January 2020|
|End Date||June 2023|
|Local Head of Project||Prof. Dr. Sebastian Altmeyer|
Due to the increasing performance demands of mission- and safety-critical Cyber Physical Systems (of Systems) – after this referred to as CPS(oS) – these systems exhibit a rapidly growing complexity, manifested by an increasing number of (distributed) computational cores and application components connected via complex networks.
However with the growing complexity and interconnectivity of these systems, the chances of hardware failures as well as disruptions due to cyber-attacks will also quickly increase. System adaptivity, foremost in terms of dynamically remapping of application components to processing cores, represents a promising technique to fuse fault- and intrusion tolerance with the increasing performance requirements of these mission- and safety-critical CPS(oS). In the ADMORPH project, we evaluate this hypothesis using a novel, holistic approach to the specification, design, analysis and runtime deployment of adaptive, i.e., dynamically morphing, mission- and safety-critical CPS(oS) that are robust against both component failures and cyber-attacks. To this end, we will address four aspects that are instrumental for the realization of these adaptively morphing systems:
(i) the formal specification of adaptive systems;
(ii) adaptivity methods like strategies for maintaining safe and secure control of CPS(oS);
(iii) analysis techniques for adaptive systems to, e.g., perform timing verification of adaptive systems to avoid timing violations after system reconfigurations; and
(iv) run-time systems for adaptive systems that realize the actual run-time system reconfigurations to achieve fault and intrusion tolerance.
The developed methodologies, methods and tools will be evaluated using three industrial use cases taken from the radar surveillance systems, autonomous operations for aircrafts, and transport management systems domains.