This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-20 Creation time: 15-19-22 --- Number of references 9 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_kiesel_5g 2021 12 15 739-744 Latency-critical applications in production promise to be essential enablers for performance improvement in production. However, they require the right and often wireless communication system. 5G technology appears to be an effective way to achieve communication system for these applications. Its estimated economic benefit on production gross domestic product is immense ($740 billion Euro until 2030). However, 55% of production companies state that 5G technology deployment is currently not a subject matter for them and mainly state the lack of knowledge on benefits as a reason. Currently, it is missing an approach or model for a use case specific, data-based evaluation of 5G technology influence on the performance of production applications. Therefore, this paper presents a model to evaluate the potential of 5G technology for latency-critical applications in production. First, we derive requirements for the model to fulfill the decision-makers' needs. Second, we analyze existing evaluation approaches regarding their fulfillment of the derived requirements. Third, based on outlined research gaps, we develop a model fulfilling the requirements. Fourth, we give an outlook for further research needs. 5G technology; latency-critical applications; production; evaluation model https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kiesel-5g-model.pdf IEEE Proceedings of the 28th IEEE International Conference on Industrial Engineering and Engineering Management (IEEM '21), December 13-16, 2021, Singapore, Singapore Singapore, Singapore December 13-16, 2021 978-1-6654-3771-4 10.1109/IEEM50564.2021.9673074 1 RaphaelKiesel FalkBoehm JanPennekamp Robert H.Schmitt inproceedings 2021-hemminghaus-sigmar 2021 11 25 Distributed maritime bridge systems are customary standard equipment on today’s commercial shipping and cruising vessels. The exchange of nautical data, e.g., geographical positions, is usually implemented using multicast network communication without security measures, which poses serious risks to the authenticity and integrity of transmitted data. In this paper, we introduce digital SIGnatures for MARitime systems (SIGMAR), a low-cost solution to seamlessly retrofit authentication of nautical data based on asymmetric cryptography. Extending the existing IEC 61162-450 protocol makes it is possible to build a backward-compatible authentication mechanism that prevents common cyber attacks. The development was successfully accompanied by permanent investigations in a bridge simulation environment, including a maritime cyber attack generator. We demonstrate SIGMAR’s feasibility by introducing a proof-of-concept implementation on low-cost and low-resource hardware and present a performance analysis of our approach. Maritime Cyber Security;Authentication;Integrity;IEC 61162-450;NMEA 0183 IEEE In Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC) Dubai, United Arab Emirates International Symposium on Networks, Computers and Communications 31 Oct.-2 Nov. 2021 10.1109/ISNCC52172.2021.9615738 1 ChristianHemminghaus JanBauer KonradWolsing inproceedings 2021-sander-shardingrevisited 2021 11 2 legato /fileadmin/papers/2021/2021-sander-sharding-revisited.pdf https://arxiv.org/abs/2110.14239 ACM Proceedings of the Internet Measurement Conference (IMC '21) Internet Measurement Conference 2021 02.11.21 - 04.11.21 978-1-4503-9129-0/21/11 10.1145/3487552.3487832 1 ConstantinSander LeoBlöcher 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_gleim_factstack 2021 5 31 P-312 371-395 Data exchange throughout the supply chain is essential for the agile and adaptive manufacturing processes of Industry 4.0. As companies employ numerous, frequently mutually incompatible data management and preservation approaches, interorganizational data sharing and reuse regularly requires human interaction and is thus associated with high overhead costs. An interoperable system, supporting the unified management, preservation and exchange of data across organizational boundaries is missing to date. We propose FactStack, a unified approach to data management and preservation based upon a novel combination of existing Web-standards and tightly integrated with the HTTP protocol itself. Based on the FactDAG model, FactStack guides and supports the full data lifecycle in a FAIR and interoperable manner, independent of individual software solutions and backward-compatible with existing resource oriented architectures. We describe our reference implementation of the approach and evaluate its performance, showcasing scalability even to high-throughput applications. We analyze the system's applicability to industry using a representative real-world use case in aircraft manufacturing based on principal requirements identified in prior work. We conclude that FactStack fulfills all requirements and provides a promising solution for the on-demand integration of persistence and provenance into existing resource-oriented architectures, facilitating data management and preservation for the agile and interorganizational manufacturing processes of Industry 4.0. Through its open source distribution, it is readily available for adoption by the community, paving the way for improved utility and usability of data management and preservation in digital manufacturing and supply chains. Lecture Notes in Informatics (LNI), Volume P-312 Web Technologies; Data Management; Memento; Persistence; PID; Industry 4.0 internet-of-production https://comsys.rwth-aachen.de/fileadmin/papers/2021/2021-gleim-btw-iop-interoperability-realization.pdf Gesellschaft für Informatik Proceedings of the 19th Symposium for Database Systems for Business, Technology and Web (BTW '21), September 13-17, 2021, Dresden, Germany Dresden, Germany September 13-17, 2021 978-3-88579-705-0 1617-5468 10.18420/btw2021-20 1 LarsGleim JanPennekamp LiamTirpitz SaschaWelten FlorianBrillowski StefanDecker 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 article 2021_bader_privaccichain Information Processing & Management 2021 5 1 58 3 The benefits of information sharing along supply chains are well known for improving productivity and reducing costs. However, with the shift towards more dynamic and flexible supply chains, privacy concerns severely challenge the required information retrieval. A lack of trust between the different involved stakeholders inhibits advanced, multi-hop information flows, as valuable information for tracking and tracing products and parts is either unavailable or only retained locally. Our extensive literature review of previous approaches shows that these needs for cross-company information retrieval are widely acknowledged, but related work currently only addresses them insufficiently. To overcome these concerns, we present PrivAccIChain, a secure, privacy-preserving architecture for improving the multi-hop information retrieval with stakeholder accountability along supply chains. To address use case-specific needs, we particularly introduce an adaptable configuration of transparency and data privacy within our design. Hence, we enable the benefits of information sharing as well as multi-hop tracking and tracing even in supply chains that include mutually distrusting stakeholders. We evaluate the performance of PrivAccIChain and demonstrate its real-world feasibility based on the information of a purchasable automobile, the e.GO Life. We further conduct an in-depth security analysis and propose tunable mitigations against common attacks. As such, we attest PrivAccIChain's practicability for information management even in complex supply chains with flexible and dynamic business relationships. multi-hop collaboration; tracking and tracing; Internet of Production; e.GO; attribute-based encryption internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-bader-ipm-privaccichain.pdf Elsevier 0306-4573 10.1016/j.ipm.2021.102529 1 LennartBader JanPennekamp RomanMatzutt DavidHedderich MarkusKowalski VolkerLücken KlausWehrle