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--- Timezone: CEST
Creation date: 2024-04-19
Creation time: 05-09-46
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6
article
2022_brauner_iop
A Computer Science Perspective on Digital Transformation in Production
ACM Transactions on Internet of Things
2022
5
1
3
2
The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.
Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf
ACM
2691-1914
10.1145/3502265
1
PhilippBrauner
ManuelaDalibor
MatthiasJarke
IkeKunze
IstvánKoren
GerhardLakemeyer
MartinLiebenberg
JudithMichael
JanPennekamp
ChristophQuix
BernhardRumpe
Wilvan der Aalst
KlausWehrle
AndreasWortmann
MartinaZiefle
article
2021_schomakers_insights
Insights on Data Sensitivity from the Technical, Legal and the Users' Perspectives
Computer Law Review International
2021
2
15
22
1
8-15
Social media, cloud computing, and the Internet of Things connect people around the globe, offering manifold benefits. However, the technological advances and increased user participation generate novel challenges for users' privacy. From the users' perspective, the consequences of data disclosure depend on the perceived sensitivity of that data. But in light of the new technological opportunities to process and combine data, it is questionable whether users can adequately evaluate risks of data disclosures. As mediating authority, data protection laws such as the European General Data Protection Regulation try to protect user data, granting enhanced protection to "special categories" of data. This article assesses the legal, technological, and users' perspectives on information sensitivity and their interplay. Technologically, all data can be referred to as "potentially sensitive." The legal and users' perspective on information sensitivity deviate from this standpoint, as some data types are granted special protection by law but are not perceived as very sensitive by users and vice versa. The key findings here suggest the GDPR adequately protecting users' privacy but for small adjustments.
Information Sensitivity, Privacy, European Data Protection Law
1610-7608
10.9785/cri-2021-220103
1
Eva-MariaSchomakers
ChantalLidynia
DirkMüllmann
RomanMatzutt
KlausWehrle
IndraSpiecker gen. Döhmann
MartinaZiefle
inproceedings
2019_rut_schomakers_privacy
Putting Privacy into Perspective -- Comparing Technical, Legal, and Users' View of Information Sensitivity
2021
1
27
857-870
Social media, cloud computing, and the Internet of Things connect people around the globe, offering manifold benefits. However, the technological advances and increased user participation generate novel challenges for users' privacy. From the users' perspective, the consequences of data disclosure depend on the perceived sensitivity of that data. But in light of the new technological opportunities to process and combine data, it is questionable whether users can adequately evaluate risks of data disclosures. As mediating authority, data protection laws such as the European General Data Protection Regulation try to protect user data, granting enhanced protection to "special categories" of data. In this paper, we assess the legal, technological, and users' perspectives on information sensitivity and their interplay. Technologically, all data can be referred to as "potentially sensitive." The legal and users' perspective on information sensitivity deviate from this standpoint, as some data types are granted special protection by law but are not perceived as very sensitive by users and vice versa. Our key findings still suggest the GDPR adequately protecting users' privacy but for small adjustments.
Information Sensitivity,Privacy,European Data Protection Law
mynedata
https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-schomakers-3perspectives.pdf
https://dl.gi.de/handle/20.500.12116/34788
https://arxiv.org/abs/1911.06569
Gesellschaft für Informatik
Bonn
INFORMATIK 2020
Karlsruhe, Germany
INFORMATIK 2020
2020-09-28 to 2020-10-01
English
10.18420/inf2020_76
1
Eva-MariaSchomakers
ChantalLidynia
DirkMüllmann
RomanMatzutt
KlausWehrle
IndraSpiecker gen. Döhmann
MartinaZiefle
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
inproceedings
2017-matzutt-mynedata
myneData: Towards a Trusted and User-controlled Ecosystem for Sharing Personal Data
2017
1073-1084
Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.
Presentation slides are in German
Personal User Data, Personal Information Management, Data Protection Laws, Privacy Enhancing Technologies, Platform Design, Profiling
mynedata_show
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-matzutt-informatik-mynedata.pdf
https://www.comsys.rwth-aachen.de/fileadmin/misc/mynedata/talks/2017-matzutt-informatik-mynedata-presentation.pdf
Presentation slides
Eibl, Maximilian and Gaedke, Martin
Gesellschaft für Informatik, Bonn
INFORMATIK 2017
Chemnitz
INFORMATIK 2017
2017-09-28
English
978-3-88579-669-5
1617-5468
10.18420/in2017_109
1
RomanMatzutt
DirkMüllmann
Eva-MariaZeissig
ChristianeHorst
KaiKasugai
SeanLidynia
SimonWieninger
Jan HenrikZiegeldorf
GerhardGudergan
IndraSpiecker gen. Döhmann
KlausWehrle
MartinaZiefle
inproceedings
2015-ahfe-kowalewski-facebook
Like us on Facebook! - Analyzing user preferences regarding privacy settings in Germany
Procedia Manufacturing
2015
7
3
815--822
Elsevier
The 6th International Conference on Applied Humand Factors and Ergonomics (AHFE 2015), Las Vegas, NV, USA
en
2351-9789
10.1016/j.promfg.2015.07.336
1
SylviaKowalewski
MartinaZiefle
Jan HenrikZiegeldorf
KlausWehrle