Self-learning assessment of communication in distributed embedded systems - a feasibility study

This paper addresses the problem of evaluating the communication behavior of cyber physical systems. An important problem for the validation of the interaction in the distributed system is missing, wrong or incomplete specification. In this paper, the application of a new approach for assessing the communication behavior based on reference traces is presented and evaluated. The benefit of the approach is that it works automatically, with low additional effort and without using any specification. This paper provides a use case in conjunction with a feasibility study to investigate the applicability of a self-learning anomaly detection methodology. The data of the feasibility study are created by applying the described anomaly detection within a real vehicle network.