Tauber, Markus

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Official Name
Tauber, Markus
Akademische Titel
Ehemaliger FH Mitarbeiter
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Scopus Author ID
37058207900
Status
exstaff

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2020 2020 2019 2019 2018 2018 2017 2017 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0

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  • Thumbnail Image
    Publication
    Security standard compliance and continuous verification for Industrial Internet of Things
    (Sage, 2020)
    Bicaku, Ani 
    ;
    Tauber, Markus 
    ;
    Delsing, Jerker 
    Due to globalization and digitalization of industrial systems, standard compliance is gaining more attention. In order to stay competitive and remain in business, different sectors within industry are required to comply with multiple regulations. Compliance aims to fulfill regulations by including all measures imposed by laws and standards. Every device, application, or service implements several technologies at many levels, and standards support interoperability across them. They help to create global markets for industries and enable networked development in order to be successful and sustainable. This work highlights the importance of standard compliance and continuous verification in industrial Internet of Things and implements an automatic monitoring and standard compliance verification framework. In this work, we focus on security, safety, and organizational aspects of industrial Internet of Things. We identify a number of standards and best practice guidelines, which are used to extract security, safety, and organizational measurable indicator points. In addition, a metric model is provided that forms the basis for the necessary information needed for compliance verification, including requirements, standards, and metrics. Also, we present the prototype of the monitoring and standard compliance verification framework used to show the security compliance of an industrial Internet of Things use case.
      122  1475Scopus© Citations 11
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    Publication
    Towards flexible and secure end-to-end communication in industry 4.0
    (IEEE, 2017)
    Maksuti, Silia 
    ;
    Bicaku, Ani 
    ;
    Tauber, Markus 
    ;
    Palkovits-Rauter, Silke 
    ;
    Haas, Sarah 
    ;
    Delsing, Jerker 
    The digital transformation of industrial production is driven by the advance of cyber-physical production systems (CPPS) within which raw materials, machines and operations are interconnected to form a sophisticated network. Making such systems self-adaptable is a priority concern for the future implementation of Industry 4.0 application scenarios. In this position paper, we design a meta-model and use it as a tool to describe an end-to-end communication use case from an ongoing research project. Based on this use case we develop a business process performance and security trade-off model, which shows that maximazing both parameters at the same time is not possible, thus an efficient balance between them has to be achieved. Motivated by the result, we propose self adaptation as a solution towards a flexible and secure end-to-end communication in Industry 4.0. To identify and document the self-adaptation points in a structured methodological and lightweight way we use the bespoken meta-model.
      118  131Scopus© Citations 15