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Analysis Method for Probabilistic Verification for Smart IoT Systems with Process Algebra

  • Sunghyeon Lee
  • , Junsup Song
  • , Dimitri Karagiannis
  • , Moonkun Lee
    • Jeonbuk National University
    • University of Vienna

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Process algebra is one of the most suitable formal methods to model Smart IoT Systems to specify their probabilistic behavior, since process algebra may include probability property for choice operation as shown in PAROMA and PACSR, which, however, do not have enough analytic methods to control the degree of nondeterminism for the operation. In order to overcome the limitation, the paper presents a new formal method, called dTP-Calculus, and an analytic method to control the nondeterminism in order to satisfy safety and security requirements of the IoT systems. To prove the concept of the approach in the paper, the SAVE tool suite has been developed on the ADOxx and is used to demonstrate its applicability with a Smart EMS (Emergence Medical Service) Example.

    Original languageEnglish
    Title of host publicationProceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages221-228
    Number of pages8
    ISBN (Electronic)9781665445115
    DOIs
    StatePublished - 2021
    Event5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 - Virtual, Online, Korea, Republic of
    Duration: 2021.08.132021.08.15

    Publication series

    NameProceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021

    Conference

    Conference5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021
    Country/TerritoryKorea, Republic of
    CityVirtual, Online
    Period21.08.1321.08.15

    Keywords

    • ADOxx
    • DTP-calculus
    • Formal method
    • Probability
    • Process algebra
    • SAVE
    • Smart IoT systems

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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