This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-19 Creation time: 11-58-07 --- Number of references 5 article 2019-unterberg-matclass Production Engineering 2019 11 13 13 6 743-749 internet-of-production 10.1007/s11740-019-00928-w 1 MartinUnterberg PhillipNiemietz DanielTrauth KlausWehrle ThomasBergs inproceedings 2019_pennekamp_dataflows 2019 11 11 27-38 The Internet of Production (IoP) envisions the interconnection of previously isolated CPS in the area of manufacturing across institutional boundaries to realize benefits such as increased profit margins and product quality as well as reduced product development costs and time to market. This interconnection of CPS will lead to a plethora of new dataflows, especially between (partially) distrusting entities. In this paper, we identify and illustrate these envisioned inter-organizational dataflows and the participating entities alongside two real-world use cases from the production domain: a fine blanking line and a connected job shop. Our analysis allows us to identify distinct security and privacy demands and challenges for these new dataflows. As a foundation to address the resulting requirements, we provide a survey of promising technical building blocks to secure inter-organizational dataflows in an IoP and propose next steps for future research. Consequently, we move an important step forward to overcome security and privacy concerns as an obstacle for realizing the promised potentials in an Internet of Production. Internet of Production; dataflows; Information Security internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-dataflows.pdf ACM Proceedings of the 5th ACM Workshop on Cyber-Physical Systems Security and PrivaCy (CPS-SPC '19), co-located with the 26th ACM SIGSAC Conference on Computer and Communications Security (CCS '19), November 11-15, 2019, London, United Kingdom London, United Kingdom November 11-15, 2019 978-1-4503-6831-5/19/11 10.1145/3338499.3357357 1 JanPennekamp MartinHenze SimoSchmidt PhilippNiemietz MarcelFey DanielTrauth ThomasBergs ChristianBrecher KlausWehrle inproceedings 2019_pennekamp_infrastructure 2019 5 8 31-37 New levels of cross-domain collaboration between manufacturing companies throughout the supply chain are anticipated to bring benefits to both suppliers and consumers of products. Enabling a fine-grained sharing and analysis of data among different stakeholders in an automated manner, such a vision of an Internet of Production (IoP) introduces demanding challenges to the communication, storage, and computation infrastructure in production environments. In this work, we present three example cases that would benefit from an IoP (a fine blanking line, a high pressure die casting process, and a connected job shop) and derive requirements that cannot be met by today’s infrastructure. In particular, we identify three orthogonal research objectives: (i) real-time control of tightly integrated production processes to offer seamless low-latency analysis and execution, (ii) storing and processing heterogeneous production data to support scalable data stream processing and storage, and (iii) secure privacy-aware collaboration in production to provide a basis for secure industrial collaboration. Based on a discussion of state-of-the-art approaches for these three objectives, we create a blueprint for an infrastructure acting as an enabler for an IoP. Internet of Production; Cyber-Physical Systems; Data Processing; Low Latency; Secure Industrial Collaboration internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-iop-infrastructure.pdf IEEE Proceedings of the 2nd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '19), May 6-9, 2019, Taipei, TW Taipei, TW May 6-9, 2019 978-1-5386-8500-6/19 10.1109/ICPHYS.2019.8780276 1 JanPennekamp RenéGlebke MartinHenze TobiasMeisen ChristophQuix RihanHai LarsGleim PhilippNiemietz MaximilianRudack SimonKnape AlexanderEpple DanielTrauth UweVroomen ThomasBergs ChristianBrecher AndreasBührig-Polaczek MatthiasJarke KlausWehrle inproceedings 2019-glebke-hicss-integrated 2019 1 8 7252-7261 internet-of-production,reflexes https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-glebke-integrated.pdf Online University of Hawai'i at Manoa / AIS Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS), Wailea, HI, USA en 978-0-9981331-2-6 10.24251/HICSS.2019.871 1 RenéGlebke MartinHenze KlausWehrle PhilippNiemietz DanielTrauth PatrickMattfeld ThomasBergs article 2019_wehrle_dagstuhl_beginners ACM SIGCOMM Computer Communication Review 2019 1 49 1 24-30 Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others. 0146-4833 10.1145/3314212.3314217 VaibhavBajpai AnnaBrunstrom AnjaFeldmann WolfgangKellerer AikoPras HenningSchulzrinne GeorgiosSmaragdakis MatthiasWählisch KlausWehrle