Towards Creation of Automated Prediction Systems for Trust and Dependability Evaluation

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Authors

CIOROAICA Emilia CHREN Stanislav AKTOUF Oum-El-Kheir LARSSON Alf CHILLAREGE Ram KUHN Thomas SCHNEIDER Daniel WOLSCHKE Christian

Year of publication 2020
Type Article in Proceedings
Conference Proceedings of 28th International Conference on Software, Telecommunications and Computer Networks (SoftCom 2020)
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.23919/SoftCOM50211.2020.9238329
Keywords CPSoS; Cyber-Physical System; Virtual Validation; Trust; Dependability
Description We advance the ability to design reliable Cyber-Physical Systems of Systems (CPSoSs) by integrating artificial intelligence to the engineering methods of these systems. The current practice relies heavily on independent validation of software and hardware components, with only limited evaluation during engineering integration activities. Furthermore, our changing landscape of real-time adaptive systems allows software components to be dynamically included or re-distributed within a Cyber-Physical System (CPS), with mostly unknown implications on the overall systems integrity, reliability and security. This paper introduces an approach consisting of scientific and engineering processes that enable development of concepts for automated prediction systems for evaluating the dependability and trust of CPSoS. This significantly moves the security and reliability design process ahead by opening the doors for far more relevant design strategies and the opportunity to develop protocols, methods, and tools aimed at dealing with a wide variety of platforms with poorly calibrated reliability characteristics.
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