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pro vyhledávání: '"Philip Empl"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4497 (2024)
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 remai
Externí odkaz:
https://doaj.org/article/589ce7dde8f84997a0264faf4e04a132
Autor:
Philip Empl, Günther Pernul
Publikováno v:
Information, Vol 14, Iss 2, p 95 (2023)
Although there are numerous advantages of the IoT in industrial use, there are also some security problems, such as insecure supply chains or vulnerabilities. These lead to a threatening security posture in organizations. Security analytics is a coll
Externí odkaz:
https://doaj.org/article/b15edac050ba41f1a80ed68a1ea362e7
Autor:
Günther Pernul, Philip Empl
Publikováno v:
SAT-CPS@CODASPY
In Cloud Computing, the cloud serves as a central data hub for the Industrial Internet of Things' (IIoT) data and is deployed in diverse application fields, e.g., Smart Grid or Smart Manufacturing. Therefore, the aggregated and contextualized data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::686424a0368e40b4c1e776a80fa338ba
Publikováno v:
Information Processing & Management. 58:102425
Digital Twins are complex digital representations of assets that are used by a variety of organizations across the Industry 4.0 value chain. As the digitization of industrial processes advances, Digital Twins will become widespread. As a result, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1dc82f3f731ab9f4adc361742dfac30
https://doi.org/10.1016/j.ipm.2020.102425
https://doi.org/10.1016/j.ipm.2020.102425