Project Details
Projekt
Securing Cyber-physical Systems with Organic Computing Techniques(CYPHOC)
Subject Area
Computer Architecture, Embedded and Massively Parallel Systems
Term
from 2014 to 2020
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 253136448
Cyber-Physical Systems (CPS) connect two quite different worlds, the world of embedded systems (with real-time requirements, sensors and actuators, dependability, deterministic behavior, etc.) with the world of digital networks (with globally available services, data clouds, multi-modal man-machine interfaces, etc.). CPS are exposed to different security threats, many are not known at the design-time of a CPS. In general, the physical surrounding of the CPS may be endangered, but also the components of the CPS or the communication between spatially distributed components, for instance. In the CYPHOC project, we address these security problems by means of Organic Computing (OC) techniques. OC focuses on adaptive technical systems, typically empowered with learning abilities, to solve complex problems. Properties such as self-learning, self-adaptation, self-coordination, self-organization, or self-healing play an important role. In CYPHOC, "security-by-design" is complemented by "security-at-runtime", that is, the components of a CPS are enabled to detect new kinds of security threats collectively and to react accordingly. In particular, solving this involves three important research topics that are addressed in the CYPHOC project (Securing Cyber-physical Systems with Organic Computing Techniques): collaborative detection and modeling of threatening situations based on effective and efficient communication mechanisms (group of Prof. Sick), mechanisms to detect dependencies between components of the CPS and to react appropriately in such situations (group of Prof. Hähner), and guaranteed protection against compromised components of the CPS including protection of the above mechanisms (group of Prof. Wacker). The project includes three case studies to demonstrate the applicability of the proposed techniques (distributed intrusion detection, smart camera network, and an industry 4.0 scenario).
DFG Programme
Research Grants
Co-Investigator
Professor Dr.-Ing. Sven Tomforde
