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bib
--- Timezone: CEST
Creation date: 2024-07-04
Creation time: 08-23-42
--- Number of references
3
inproceedings
2020_pennekamp_parameter_exchange
Privacy-Preserving Production Process Parameter Exchange
2020
12
10
510-525
Nowadays, collaborations between industrial companies always go hand in hand with trust issues, i.e., exchanging valuable production data entails the risk of improper use of potentially sensitive information. Therefore, companies hesitate to offer their production data, e.g., process parameters that would allow other companies to establish new production lines faster, against a quid pro quo. Nevertheless, the expected benefits of industrial collaboration, data exchanges, and the utilization of external knowledge are significant.
In this paper, we introduce our Bloom filter-based Parameter Exchange (BPE), which enables companies to exchange process parameters privacy-preservingly. We demonstrate the applicability of our platform based on two distinct real-world use cases: injection molding and machine tools. We show that BPE is both scalable and deployable for different needs to foster industrial collaborations. Thereby, we reward data-providing companies with payments while preserving their valuable data and reducing the risks of data leakage.
secure industrial collaboration; Bloom filter; oblivious transfer; Internet of Production
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-pennekamp-parameter-exchange.pdf
ACM
Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC '20), December 7-11, 2020, Austin, TX, USA
Austin, TX, USA
December 7-11, 2020
978-1-4503-8858-0/20/12
10.1145/3427228.3427248
1
JanPennekamp
ErikBuchholz
YannikLockner
MarkusDahlmanns
TiandongXi
MarcelFey
ChristianBrecher
ChristianHopmann
KlausWehrle
article
2020_gleim_factDAG
FactDAG: Formalizing Data Interoperability in an Internet of Production
IEEE Internet of Things Journal
2020
4
14
7
4
3243-3253
In the production industry, the volume, variety and velocity of data as well as the number of deployed protocols increase exponentially due to the influences of IoT advances. While hundreds of isolated solutions exist to utilize this data, e.g., optimizing processes or monitoring machine conditions, the lack of a unified data handling and exchange mechanism hinders the implementation of approaches to improve the quality of decisions and processes in such an interconnected environment.
The vision of an Internet of Production promises the establishment of a Worldwide Lab, where data from every process in the network can be utilized, even interorganizational and across domains. While numerous existing approaches consider interoperability from an interface and communication system perspective, fundamental questions of data and information interoperability remain insufficiently addressed.
In this paper, we identify ten key issues, derived from three distinctive real-world use cases, that hinder large-scale data interoperability for industrial processes. Based on these issues we derive a set of five key requirements for future (IoT) data layers, building upon the FAIR data principles. We propose to address them by creating FactDAG, a conceptual data layer model for maintaining a provenance-based, directed acyclic graph of facts, inspired by successful distributed version-control and collaboration systems. Eventually, such a standardization should greatly shape the future of interoperability in an interconnected production industry.
Data Management; Data Versioning; Interoperability; Industrial Internet of Things; Worldwide Lab
internet-of-production
https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-iotj-iop-interoperability.pdf
IEEE
2327-4662
10.1109/JIOT.2020.2966402
1
LarsGleim
JanPennekamp
MartinLiebenberg
MelanieBuchsbaum
PhilippNiemietz
SimonKnape
AlexanderEpple
SimonStorms
DanielTrauth
ThomasBergs
ChristianBrecher
StefanDecker
GerhardLakemeyer
KlausWehrle
article
2020-wehrle-digitalshadows
Mit "Digitalen Schatten" Daten verdichten und darstellen : Der Exzellenzcluster "Internet der Produktion" forscht über die Produktionstechnik hinaus
Der Profilbereich "Information & Communication Technology"
2020
0179-079X
10.18154/RWTH-2021-02496
MatthiasJarke
Wilvan der Aalst
ChristianBrecher
MatthiasBrockmann
IstvánKoren
GerhardLakemeyer
BernhardRumpe
GüntherSchuh
KlausWehrle
MartinaZiefle