Now showing 1 - 3 of 3
  • Publication
    Using reference traces for validation of communication in embedded systems
    ( 2014)
    Langer, Falk
    ;
    This paper addresses the problem of evaluating the communication behavior of embedded systems. An important problem is missing, wrong or incomplete specification for the interaction in the distributed system. In this paper, a new approach for evaluating the communication behavior based on reference traces is introduced. The benefit of the approach is that it works automatically, with low additional effort and without using any specification. The introduced methodology uses algorithms from the field of machine learning to extract behavior models out of a reference trace. With the presented algorithm, the complexity of the learning problem can be reduced significantly by identifying parallel execution paths. The efficiency of the proposed algorithm is evaluated with real vehicle network data. At this data the self-learning algorithm covers up to 69% of the behavior from the presented trace.
  • Publication
    A self-learning approach for validation of communication in embedded systems
    ( 2014)
    Langer, Falk
    ;
    This paper demonstrates a new approach that addresses the problem of evaluating the communication behavior of embedded systems by applying algorithms from the area of artificial intelligence. An important problem for the validation for the interaction in the distributed system is missing, wrong or incomplete specification. This paper demonstrates the application of a new self-learning approach for assessing the communication behavior based on reference traces. The benefit of the approach is that it works automatically, with low additional effort and without using any specification. The investigated methodology uses algorithms from the field of machine learning and data mining to extract behavior models out of a reference trace. For showing the application, this paper provides a use case and the basic setup for the proposed method. The applicability of this self-learning methodology is evaluated based on real vehicle network data.
  • Publication
    Self-learning assessment of communication in distributed embedded systems - a feasibility study
    ( 2014)
    Langer, Falk
    ;
    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.