This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2022-08-07 Creation time: 18-52-30 --- Number of references 18 inproceedings 2022-sander-h3-prio-hol 2022 6 27 legato https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-sander-h3-prio-hol.pdf IFIP Proceedings of the Network Traffic Measurement and Analysis Conference (TMA '22) Enschede Network Traffic Measurement and Analysis Conference 27.06.22-30.06.22 978-3-903176-47-8 1 ConstantinSander IkeKunze KlausWehrle article 2022_brauner_iop 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 inproceedings 2021_pennekamp_laser 2021 12 21 Following the recent Internet of Things-induced trends on digitization in general, industrial applications will further evolve as well. With a focus on the domains of manufacturing and production, the Internet of Production pursues the vision of a digitized, globally interconnected, yet secure environment by establishing a distributed knowledge base. Background. As part of our collaborative research of advancing the scope of industrial applications through cybersecurity and privacy, we identified a set of common challenges and pitfalls that surface in such applied interdisciplinary collaborations. Aim. Our goal with this paper is to support researchers in the emerging field of cybersecurity in industrial settings by formalizing our experiences as reference for other research efforts, in industry and academia alike. Method. Based on our experience, we derived a process cycle of performing such interdisciplinary research, from the initial idea to the eventual dissemination and paper writing. This presented methodology strives to successfully bootstrap further research and to encourage further work in this emerging area. Results. Apart from our newly proposed process cycle, we report on our experiences and conduct a case study applying this methodology, raising awareness for challenges in cybersecurity research for industrial applications. We further detail the interplay between our process cycle and the data lifecycle in applied research data management. Finally, we augment our discussion with an industrial as well as an academic view on this research area and highlight that both areas still have to overcome significant challenges to sustainably and securely advance industrial applications. Conclusions. With our proposed process cycle for interdisciplinary research in the intersection of cybersecurity and industrial application, we provide a foundation for further research. We look forward to promising research initiatives, projects, and directions that emerge based on our methodological work. internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-pennekamp-laser-collaboration.pdf ACSA Proceedings of the Workshop on Learning from Authoritative Security Experiment Results (LASER '20), co-located with the 36th Annual Computer Security Applications Conference (ACSAC '20), December 7-11, 2020, Austin, TX, USA Austin, TX, USA Learning from Authoritative Security Experiment Results (LASER '20) December 8, 2020 978-1-891562-81-5 10.14722/laser-acsac.2020.23088 1 JanPennekamp ErikBuchholz MarkusDahlmanns IkeKunze StefanBraun EricWagner MatthiasBrockmann KlausWehrle MartinHenze inproceedings 2021-kunze-spin-tracker 2021 12 7 15–21 https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-spin-tracker.pdf ACM Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC (EPIQ '21) 9781450391351 10.1145/3488660.3493804 1 IkeKunze ConstantinSander KlausWehrle JanRüth inproceedings 2021-kunze-efm-evaluation 2021 7 22 - 28 /fileadmin/papers/2021/2021-kunze-efm-evaluation.pdf ACM ANRW '21: Proceedings of the Applied Networking Research Workshop Virtual Event Applied Networking Research Workshop (ANRW '21) July 2021 10.1145/3472305.3472319 1 IkeKunze KlausWehrle JanRüth inproceedings 2021-kunze-signal-detection 2021 6 10 internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-signal-detection.pdf IEEE Proceedings of the 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) 978-1-7281-9023-5 2163-5145 10.1109/ISIE45552.2021.9576221 1 IkeKunze PhilippNiemietz LiamTirpitz RenéGlebke DanielTrauth ThomasBergs KlausWehrle inproceedings 2021-glebke-service-based-forwarding 2021 6 10 reflexes /fileadmin/papers/2021/2021-glebke-service-based-forwarding.pdf IEEE Proceedings of the 2021 IEEE International Conference on High Performance Switching and Routing: Workshop on Semantic Addressing and Routing for Future Networks (SARNET-21) 978-1-6654-4005-9 2325-5609 10.1109/HPSR52026.2021.9481814 1 RenéGlebke DirkTrossen IkeKunze DavidLou JanRüth MirkoStoffers KlausWehrle inproceedings 2021-kunze-coordinate-transformation 2021 5 11 334-340 in-network computing; latency; approximation internet-of-production,reflexes https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-coordinate-transformation.pdf IEEE Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '21) 978-1-7281-6207-2 10.1109/ICPS49255.2021.9468247 1 IkeKunze RenéGlebke JanScheiper MatthiasBodenbenner Robert H.Schmitt KlausWehrle article 2021_buckhorst_lmas Procedia CIRP 2021 5 3 99 448-453 Assembly systems must provide maximum flexibility qualified by organization and technology to offer cost-compliant performance features to differentiate themselves from competitors in buyers' markets. By mobilization of multipurpose resources and dynamic planning, Line-less Mobile Assembly Systems (LMASs) offer organizational reconfigurability. By proposing a holarchy to combine LMASs with the concept of an Internet of Production (IoP), we enable LMASs to source valuable information from cross-level production networks, physical resources, software nodes, and data stores that are interconnected in an IoP. The presented holarchy provides a concept of how to address future challenges, meet the requirements of shorter lead times, and unique lifecycle support. The paper suggests an application of decision making, distributed sensor services, recommender-based data reduction, and in-network computing while considering safety and human usability alike. Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME '20), July 14-17, 2020, Gulf of Naples, Italy Internet of Production; Line-less Mobile Assembly System; Industrial Assembly; Smart Factory internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-buckhorst-holarchy.pdf Elsevier Gulf of Naples, Italy July 14-17, 2020 2212-8271 10.1016/j.procir.2021.03.064 1 Armin F.Buckhorst BenjaminMontavon DominikWolfschläger MelanieBuchsbaum AmirShahidi HenningPetruck IkeKunze JanPennekamp ChristianBrecher MathiasHüsing BurkhardCorves VerenaNitsch KlausWehrle Robert H.Schmitt inproceedings 2021-kunze-aqm-tofino-p4 2021 5 72-80 internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-aqm-tofino-p4.pdf IFIP/IEEE Proceedings of the International Symposium on Integrated Network Management (IM '21) Virtual Event International Symposium on Integrated Network Management (IM '21) May 2021 978-1-7281-9041-9 1 IkeKunze MoritzGunz DavidSaam KlausWehrle JanRüth inproceedings 2021-sander-zoom-cc 2021 3 internet-of-production /fileadmin/papers/2021/2021-sander-zoom-fairness-aqm.pdf https://arxiv.org/abs/2107.00904 Springer Proceedings of the Passive and Active Measurement Conference (PAM '21) Passive and Active Measurement Conference (PAM 2021) 10.1007/978-3-030-72582-2_1 1 ConstantinSander IkeKunze KlausWehrle JanRüth article 2020_niemietz_stamping Procedia Manufacturing 2020 7 11 49 61-68 Sharing data between companies throughout the supply chain is expected to be beneficial for product quality as well as for the economical savings in the manufacturing industry. To utilize the available data in the vision of an Internet of Production (IoP) a precise condition monitoring of manufacturing and production processes that facilitates the quantification of influences throughout the supply chain is inevitable. In this paper, we consider stamping processes in the context of an Internet of Production and the preliminaries for analytical models that utilize the ever-increasing available data. Three research objectives to cope with the amount of data and for a methodology to monitor, analyze and evaluate the influence of available data onto stamping processes have been identified: (i) State detection based on cyclic sensor signals, (ii) mapping of in- and output parameter variations onto process states, and (iii) models for edge and in-network computing approaches. After discussing state-of-the-art approaches to monitor stamping processes and the introduction of the fineblanking process as an exemplary stamping process, a research roadmap for an IoP enabling modeling framework is presented. Proceedings of the 8th International Conference on Through-Life Engineering Service (TESConf '19), October 27-29, 2019, Cleveland, OH, USA Stamping Process; Industry 4.0; Fine-blanking; Internet of production; Condition monitoring; Data analytics internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-niemietz-stamping-modelling.pdf Elsevier Cleveland, OH, USA October 27-29, 2019 2351-9789 10.1016/j.promfg.2020.06.012 1 PhilippNiemietz JanPennekamp IkeKunze DanielTrauth KlausWehrle ThomasBergs 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 2019-kunze-ccwild-tnsm IEEE Transactions on Network and Service Management 2019 12 27 17 2 1224 - 1238 https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-kunze-ccwild-tnsm.pdf 1932-4537 10.1109/TNSM.2019.2962607 1 IkeKunze JanRüth OliverHohlfeld inproceedings 2019-glebke-in-network-cv 2019 12 9 reflexes,maki,internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-glebke-in-network-cv.pdf Online ACM 1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms (ENCP '19) en 978-1-4503-7000-4/19/12 10.1145/3359993.3366646 1 RenéGlebke JohannesKrude IkeKunze JanRüth FelixSenger KlausWehrle inproceedings 2019-rueth-ccfness 2019 6 19 maki https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-rueth-ccfness.pdf https://arxiv.org/abs/1905.07152 IFIP/IEEE In Proceedings of the Network Traffic Measurement and Analysis Conference (TMA '19) Paris, France Network Traffic Measurement and Analysis Conference 19.06.2019 - 21.06.2019 10.23919/TMA.2019.8784684 1 JanRüth IkeKunze OliverHohlfeld article rueth:iw:TNSM19 IEEE Transactions on Network and Service Management 2019 1 30 16 2 389--402 maki http://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-rueth-iwtnsm.pdf 1932-4537 10.1109/TNSM.2019.2896335 1 JanRüth IkeKunze OliverHohlfeld article 2017-ziegeldorf-bmcmedgenomics-bloom BMC Medical Genomics 2017 7 26 10 Suppl 2 29-42 Whole genome sequencing has become fast, accurate, and cheap, paving the way towards the large-scale collection and processing of human genome data. Unfortunately, this dawning genome era does not only promise tremendous advances in biomedical research but also causes unprecedented privacy risks for the many. Handling storage and processing of large genome datasets through cloud services greatly aggravates these concerns. Current research efforts thus investigate the use of strong cryptographic methods and protocols to implement privacy-preserving genomic computations. We propose FHE-Bloom and PHE-Bloom, two efficient approaches for genetic disease testing using homomorphically encrypted Bloom filters. Both approaches allow the data owner to securely outsource storage and computation to an untrusted cloud. FHE-Bloom is fully secure in the semi-honest model while PHE-Bloom slightly relaxes security guarantees in a trade-off for highly improved performance. We implement and evaluate both approaches on a large dataset of up to 50 patient genomes each with up to 1000000 variations (single nucleotide polymorphisms). For both implementations, overheads scale linearly in the number of patients and variations, while PHE-Bloom is faster by at least three orders of magnitude. For example, testing disease susceptibility of 50 patients with 100000 variations requires only a total of 308.31 s (σ=8.73 s) with our first approach and a mere 0.07 s (σ=0.00 s) with the second. We additionally discuss security guarantees of both approaches and their limitations as well as possible extensions towards more complex query types, e.g., fuzzy or range queries. Both approaches handle practical problem sizes efficiently and are easily parallelized to scale with the elastic resources available in the cloud. The fully homomorphic scheme, FHE-Bloom, realizes a comprehensive outsourcing to the cloud, while the partially homomorphic scheme, PHE-Bloom, trades a slight relaxation of security guarantees against performance improvements by at least three orders of magnitude. Proceedings of the 5th iDASH Privacy and Security Workshop 2016 Secure outsourcing; Homomorphic encryption; Bloom filters sscilops; mynedata https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-ziegeldorf-bmcmedgenomics-bloom.pdf Online BioMed Central Chicago, IL, USA November 11, 2016 en 1755-8794 10.1186/s12920-017-0277-y 1 Jan HenrikZiegeldorf JanPennekamp DavidHellmanns FelixSchwinger IkeKunze MartinHenze JensHiller RomanMatzutt KlausWehrle