CPPL

Henze, Martin; Hiller, Jens; Schmerling, Sascha; Ziegeldorf, Jan Henrik; Wehrle, Klaus

doi:10.1145/2994620.2994627

Cited by 20 publications

(4 citation statements)

References 26 publications

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“…When sharing data, companies further expect mechanisms to automatically evaluate any allowed secondary use of their shared data, e.g., using data usage policies (Henze 2020;Henze et al 2016). Otherwise, their concerns could effectively prevent collaboration in industry.…”

Section: Infrastructure For Secure Industrial Collaborationmentioning

confidence: 99%

“…Enriching existing (industrial) infrastructures with appropriate data security requires developments along multiple dimensions. As the most basic mechanism, data usage policies (Henze et al 2016), which efficiently formulate allowed utilization of sensitive data, allow stakeholders to express their privacy and data sovereignty needs. For example, companies can specify details about the suitability of using…”

Section: Data Security and Data Qualitymentioning

confidence: 99%

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Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

Pennekamp,

Belova,

Bergs

et al. 2023

Interdisciplinary Excellence Accelerator Series

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The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.

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Section: Infrastructure For Secure Industrial Collaborationmentioning

confidence: 99%

Section: Data Security and Data Qualitymentioning

confidence: 99%

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

Pennekamp,

Belova,

Bergs

et al. 2023

Interdisciplinary Excellence Accelerator Series

Self Cite

View full text Add to dashboard Cite

show abstract

“…PDLs have been used for over two decades to communicate privacy expectations of consumers and match them with company practices [44]. The first privacy policy language was P3P, which was designed to tackle online privacy concerns of consumers that arise due to difficulties in obtaining information on the privacy practices of websites [45].…”

Section: Policy Rules For Data Sovereigntymentioning

confidence: 99%

“…Data protection PDLs are not limited to companies, for instance, the preference language YaPPL is used to formulate consumers' data protection requirements in IoT contexts [50]. Ideally, the company and consumer side is addressed in system design to realize a semi-automated exchange of consents [27,44,46,51]. However, a few challenges remain.…”

Section: Policy Rules For Data Sovereigntymentioning

confidence: 99%