SIREN: Designing Business Processes for Comprehensive Industrial IoT Security Management

Hornsteiner, Markus; Schönig, Stefan

doi:10.1007/978-3-031-32808-4_24

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…This revelation emphasizes that datasets suitable for process mining are more extensive than previously believed. Our findings have broad applicability, such as in cybersecurity, where process models can enhance network intrusion detection or ensure compliance [22]. Additionally, our insights into OPC UA processes offer valuable nuances for future benchmarking studies.…”

Section: Scientific Impactmentioning

confidence: 78%

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Reading between the Lines: Process Mining on OPC UA Network Data

Hornsteiner,

Empl,

Bunghardt

et al. 2024

Preprint

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The introduction of the Industrial Internet of Things (IIoT) has led to major changes in the industry. Thanks to machine data, business process management methods and techniques could also be applied to them. However, one data source has so far remained untouched: The network data of the machines. In the business environment, process mining, for example, has already been carried out based on network data, but the IIoT, with its particular protocols such as OPC UA, has yet to be investigated. With the help of design science research and on the shoulders of CRISP-DM, we first develop a framework for process mining in the IIoT in this paper. We then apply the framework to real-world IIoT network traffic data and evaluate the outcome and performance of our approach in detail. We find tremendous potential in network traffic data but also limitations. Among other things, due to the dependence on process experts and the existence of case IDs.

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Section: Scientific Impactmentioning

confidence: 78%

“…A direct follows graph creates an overview of process instances and dimensions (e.g., frequency or performance). The BPMN notation (and notably extended options with context-specific variables) focuses more on business processes [22].…”

Section: Process Discovery Visualization and Analysismentioning

confidence: 99%

Reading between the Lines: Process Mining on OPC UA Network Data

Hornsteiner,

Empl,

Bunghardt

et al. 2024

Preprint

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On the Interplay Between Business Process Management and Internet-of-Things

De Luzi,

Leotta,

Marrella

et al. 2024

Bus Inf Syst Eng

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In the last years, the increasing scientific and industrial interest in Business Process Management (BPM) approaches and methods on the one side, and Internet-of-Things (IoT) technologies and tools on the other. Are these fields complementary? What are their respective interplays and the research challenges to their realizations? The article presents a Systematic Literature Review (SLR) to gain in-depth insights into the maturity of existing approaches to IoT-aware BPM. The analysis of the retrieved studies, framed along the research questions addressed in the SLR, enables us to systematically evaluate the literature on IoT-aware BPM concerning the phases of the process life cycle covered by the different approaches, the specific topics addressed, the application domains involved, and the possibility to tackle the research challenges. Future research directions are also highlighted.

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SIREN: Designing Business Processes for Comprehensive Industrial IoT Security Management

Cited by 2 publications

References 22 publications

Reading between the Lines: Process Mining on OPC UA Network Data

Reading between the Lines: Process Mining on OPC UA Network Data

On the Interplay Between Business Process Management and Internet-of-Things

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