This file was created by the TYPO3 extension bib --- Timezone: UTC Creation date: 2024-12-05 Creation time: 19-32-11 --- Number of references 10 inproceedings 2020_pennekamp_benchmarking 2020 12 15 31-44 Benchmarking the performance of companies is essential to identify improvement potentials in various industries. Due to a competitive environment, this process imposes strong privacy needs, as leaked business secrets can have devastating effects on participating companies. Consequently, related work proposes to protect sensitive input data of companies using secure multi-party computation or homomorphic encryption. However, related work so far does not consider that also the benchmarking algorithm, used in today's applied real-world scenarios to compute all relevant statistics, itself contains significant intellectual property, and thus needs to be protected. Addressing this issue, we present PCB — a practical design for Privacy-preserving Company Benchmarking that utilizes homomorphic encryption and a privacy proxy — which is specifically tailored for realistic real-world applications in which we protect companies' sensitive input data and the valuable algorithms used to compute underlying key performance indicators. We evaluate PCB's performance using synthetic measurements and showcase its applicability alongside an actual company benchmarking performed in the domain of injection molding, covering 48 distinct key performance indicators calculated out of hundreds of different input values. By protecting the privacy of all participants, we enable them to fully profit from the benefits of company benchmarking. practical encrypted computing; homomorphic encryption; algorithm confidentiality; benchmarking; key performance indicators; industrial application; Internet of Production internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-pennekamp-company-benchmarking.pdf https://eprint.iacr.org/2020/1512 HomomorphicEncryption.org Proceedings of the 8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC '20), December 15, 2020, Virtual Event Virtual Event December 15, 2020 978-3-00-067798-4 10.25835/0072999 1 JanPennekamp PatrickSapel Ina BereniceFink SimonWagner SebastianReuter ChristianHopmann KlausWehrle MartinHenze proceedings fink-lcn-demons-2020 2020 11 15 nerd-nrw https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-fink-lcn-mud-smartphone.pdf IEEE online Sydney, Australia 45th IEEE Conference on Local Computer Networks (LCN) November 16-19, 2020 10.1109/LCN48667.2020.9314782 1 Ina BereniceFink MartinSerror KlausWehrle article serror-iiotsec-tii-2020 IEEE Transactions on Industrial Informatics 2020 9 11 17 5 2985-2996 nerd-nrw https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-serror-tii-iiotsec.pdf https://ieeexplore.ieee.org/document/9195014 online 1941-0050 10.1109/TII.2020.3023507 1 MartinSerror SachaHack MartinHenze MarkoSchuba KlausWehrle inproceedings 2020-kirchhof-wowmom-ccncps 2020 8 31 internet-of-production, reflexes https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-kirchhof-wireless-mac-improvements.pdf IEEE Computer Society online International Symposium on a World of Wireless, Mobile and Multimedia Networks: Workshop on Communication, Computing, and Networking in Cyber Physical Systems (WoWMoM-CCNCPS'2020), August 31 - September 3, 2020, Cork, Ireland Cork, Ireland August 31 - September 3, 2020 10.1109/WoWMoM49955.2020.00068 1 Jörg ChristianKirchhof MartinSerror RenéGlebke KlausWehrle inproceedings 2020-schemmel-porse 2020 7 symbiosys https://arxiv.org/pdf/2005.06688.pdf https://arxiv.org/abs/2005.06688 Computer Aided Verification (CAV 2020) 32nd International Conference on Computer Aided Verification 10.1007/978-3-030-53288-8_18 1 DanielSchemmel JulianBüning CésarRodríguez DavidLaprell KlausWehrle inproceedings 2020-serror-networking-qwin 2020 6 21 consent https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-serror-qwin.pdf https://ieeexplore.ieee.org/abstract/document/9142792 IFIP online Proceedings of the 19th IFIP Networking 2020 Conference (NETWORKING '20), June 22-26, 2020, Paris, France Paris, France IFIP NETWORKING Conference June 22-26, 2020 978-3-903176-28-7 1 MartinSerror EricWagner RenéGlebke KlausWehrle inproceedings 2020-mann-ur-weldseamstudy 2020 6 https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-mann-weld-seam-geometry-control.pdf Proceedings of the 2020 Internal Conference on Ubiquitous Robots Internal Conference on Ubiquitous Robots June 22-26, 2020 10.1109/UR49135.2020.9144839 1 SamuelMann RenéGlebke IkeKunze DominikScheurenberg RahulSharma UweReisgen KlausWehrle DirkAbel article 2020_gleim_factDAG 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_mann_welding_layers Advanced Structured Materials 2020 4 1 125 101-118 A connected, digitalized welding production unlocks vast and dynamic potentials: from improving state of the art welding to new business models in production. For this reason, offering frameworks, which are capable of addressing multiple layers of applications on the one hand and providing means of data security and privacy for ubiquitous dataflows on the other hand, is an important step to enable the envisioned advances. In this context, welding production has been introduced from the perspective of interlaced process layers connecting information sources across various entities. Each layer has its own distinct challenges from both a process view and a data perspective. Besides, investigating each layer promises to reveal insight into (currently unknown) process interconnections. This approach has been substantiated by methods for data security and privacy to draw a line between secure handling of data and the need of trustworthy dealing with sensitive data among different parties and therefore partners. In conclusion, the welding production has to develop itself from an accumulation of local and isolated data sources towards a secure industrial collaboration in an Internet of Production. Proceedings of the 1st International Conference on Advanced Joining Processes (AJP '19) Welding Production; Industrie 4.0; Internet of Production; Data Security; Data Privacy Internet-of-Production https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-mann-welding-layers.pdf Springer Ponta Delgada, Azores, Portugal October 24-25, 2019 978-981-15-2956-6 1869-8433 10.1007/978-981-15-2957-3_8 1 SamuelMann JanPennekamp TobiasBrockhoff AnahitaFarhang MahsaPourbafrani LukasOster Merih SeranUysal RahulSharma UweReisgen KlausWehrle Wilvan der Aalst article 2020-wehrle-digitalshadows 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