% % This file was created by the TYPO3 extension % bib % --- Timezone: CEST % Creation date: 2024-05-06 % Creation time: 06-25-02 % --- Number of references % 11 % @Article { 2023_pennekamp_purchase_inquiries, title = {Offering Two-Way Privacy for Evolved Purchase Inquiries}, journal = {ACM Transactions on Internet Technology}, year = {2023}, month = {11}, day = {17}, volume = {23}, number = {4}, abstract = {Dynamic and flexible business relationships are expected to become more important in the future to accommodate specialized change requests or small-batch production. Today, buyers and sellers must disclose sensitive information on products upfront before the actual manufacturing. However, without a trust relation, this situation is precarious for the involved companies as they fear for their competitiveness. Related work overlooks this issue so far: Existing approaches only protect the information of a single party only, hindering dynamic and on-demand business relationships. To account for the corresponding research gap of inadequately privacy-protected information and to deal with companies without an established trust relation, we pursue the direction of innovative privacy-preserving purchase inquiries that seamlessly integrate into today's established supplier management and procurement processes. Utilizing well-established building blocks from private computing, such as private set intersection and homomorphic encryption, we propose two designs with slightly different privacy and performance implications to securely realize purchase inquiries over the Internet. In particular, we allow buyers to consider more potential sellers without sharing sensitive information and relieve sellers of the burden of repeatedly preparing elaborate yet discarded offers. We demonstrate our approaches' scalability using two real-world use cases from the domain of production technology. Overall, we present deployable designs that offer two-way privacy for purchase inquiries and, in turn, fill a gap that currently hinders establishing dynamic and flexible business relationships. In the future, we expect significantly increasing research activity in this overlooked area to address the needs of an evolving production landscape.}, keywords = {bootstrapping procurement; secure industrial collaboration; private set intersection; homomorphic encryption; Internet of Production}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-pennekamp-purchase-inquiries.pdf}, publisher = {ACM}, ISSN = {1533-5399}, DOI = {10.1145/3599968}, reviewed = {1}, author = {Pennekamp, Jan and Dahlmanns, Markus and Fuhrmann, Frederik and Heutmann, Timo and Kreppein, Alexander and Grunert, Dennis and Lange, Christoph and Schmitt, Robert H. and Wehrle, Klaus} } @Inproceedings { 2023_bader_reputation-systems, title = {Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation}, year = {2023}, month = {11}, abstract = {Consumers frequently interact with reputation systems to rate products, services, and deliveries. While past research extensively studied different conceptual approaches to realize such systems securely and privacy-preservingly, these concepts are not yet in use in business-to-business environments. In this paper, (1) we thus outline which specific challenges privacy-cautious stakeholders in volatile supply chain networks introduce, (2) give an overview of the diverse landscape of privacy-preserving reputation systems and their properties, and (3) based on well-established concepts from supply chain information systems and cryptography, we further propose an initial concept that accounts for the aforementioned challenges by utilizing fully homomorphic encryption. For future work, we identify the need of evaluating whether novel systems address the supply chain-specific privacy and confidentiality needs.}, note = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)}, keywords = {SCM; confidentiality; anonymity; voter; votee; FHE}, tags = {internet-of-production}, url = {https://jpennekamp.de/wp-content/papercite-data/pdf/bpt+23.pdf}, publisher = {Springer}, booktitle = {Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous '23), November 14-17, 2023, Melbourne, VIC, Australia}, event_place = {Melbourne, VIC, Australia}, event_date = {November 14-17, 2023}, state = {accepted}, ISSN = {1867-8211}, reviewed = {1}, author = {Bader, Lennart and Pennekamp, Jan and Thevaraj, Emildeon and Spi{\ss}, Maria and Kanhere, Salil S. and Wehrle, Klaus} } @Inproceedings { 2023-kunze-spin-bit-in-the-wild, title = {Does It Spin? On the Adoption and Use of QUIC’s Spin Bit}, year = {2023}, month = {10}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-kunze-spin-bit-in-the-wild.pdf}, publisher = {ACM}, booktitle = {Proceedings of the Internet Measurement Conference (IMC '23)}, event_name = {Internet Measurement Conference 2023}, DOI = {10.1145/3618257.3624844}, reviewed = {1}, author = {Kunze, Ike and Sander, Constantin and Wehrle, Klaus} } @Inproceedings { 2023-sander-quic-ecn, title = {ECN with QUIC: Challenges in the Wild}, year = {2023}, month = {10}, tags = {legato}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-sander-quic-ecn.pdf}, web_url = {https://arxiv.org/abs/2309.14273}, publisher = {ACM}, booktitle = {Proceedings of the Internet Measurement Conference (IMC '23)}, event_name = {Internet Measurement Conference 2023}, ISBN = {979-8-4007-0382-9/23/10}, DOI = {10.1145/3618257.3624821}, reviewed = {1}, author = {Sander, Constantin and Kunze, Ike and Bl{\"o}cher, Leo and Kosek, Mike and Wehrle, Klaus} } @Inproceedings { 2023_wolsing_ensemble, title = {One IDS is not Enough! Exploring Ensemble Learning for Industrial Intrusion Detection}, year = {2023}, month = {9}, day = {25}, volume = {14345}, pages = {102-122}, abstract = {Industrial Intrusion Detection Systems (IIDSs) play a critical role in safeguarding Industrial Control Systems (ICSs) against targeted cyberattacks. Unsupervised anomaly detectors, capable of learning the expected behavior of physical processes, have proven effective in detecting even novel cyberattacks. While offering decent attack detection, these systems, however, still suffer from too many False-Positive Alarms (FPAs) that operators need to investigate, eventually leading to alarm fatigue. To address this issue, in this paper, we challenge the notion of relying on a single IIDS and explore the benefits of combining multiple IIDSs. To this end, we examine the concept of ensemble learning, where a collection of classifiers (IIDSs in our case) are combined to optimize attack detection and reduce FPAs. While training ensembles for supervised classifiers is relatively straightforward, retaining the unsupervised nature of IIDSs proves challenging. In that regard, novel time-aware ensemble methods that incorporate temporal correlations between alerts and transfer-learning to best utilize the scarce training data constitute viable solutions. By combining diverse IIDSs, the detection performance can be improved beyond the individual approaches with close to no FPAs, resulting in a promising path for strengthening ICS cybersecurity.}, note = {Lecture Notes in Computer Science (LNCS), Volume 14345}, keywords = {Intrusion Detection; Ensemble Learning; ICS}, tags = {internet-of-production, rfc}, url = {https://jpennekamp.de/wp-content/papercite-data/pdf/wkw+23.pdf}, publisher = {Springer}, booktitle = {Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS '23), September 25-29, 2023, The Hague, The Netherlands}, event_place = {The Hague, The Netherlands}, event_name = {28th European Symposium on Research in Computer Security (ESORICS '23)}, event_date = {September 25-29, 2023}, ISBN = {978-3-031-51475-3}, ISSN = {0302-9743}, DOI = {10.1007/978-3-031-51476-0_6}, reviewed = {1}, author = {Wolsing, Konrad and Kus, Dominik and Wagner, Eric and Pennekamp, Jan and Wehrle, Klaus and Henze, Martin} } @Article { Jakobs_2023_3, title = {Preserving the Royalty-Free Standards Ecosystem}, journal = {European Intellectual Property Review}, year = {2023}, month = {7}, volume = {45}, number = {7}, pages = {371-375}, abstract = {It has long been recognized in Europe and elsewhere that standards-development organizations (SDOs) may adopt policies that require their participants to license patents essential to the SDO’s standards (standards-essential patents or SEPs) to manufacturers of standardized products (“implementers”) on a royalty-free (RF) basis. This requirement contrasts with SDO policies that permit SEP holders to charge implementers monetary patent royalties, sometimes on terms that are specified as “fair, reasonable and nondiscriminatory” (FRAND). As demonstrated by two decades of intensive litigation around the world, FRAND royalties have given rise to intractable disputes regarding the manner in which such royalties should be calculated and adjudicated. In contrast, standards distributed on an RF basis are comparatively free from litigation and the attendant transaction costs. Accordingly, numerous SDOs around the world have adopted RF licensing policies and many widely adopted standards, including Bluetooth, USB, IPv6, HTTP, HTML and XML, are distributed on an RF basis. This note briefly discusses the commercial considerations surrounding RF standards, the relationship between RF standards and open source software (OSS) and the SDO policy mechanisms – including “universal reciprocity” -- that enable RF licensing to succeed in the marketplace.}, ISSN = {0142-0461}, DOI = {10.2139/ssrn.4235647}, reviewed = {1}, author = {Contreras, Jorge and Bekkers, Rudi and Biddle, Brad and Bonadio, Enrico and Carrier, Michael A. and Chao, Bernard and Duan, Charles and Gilbert, Richard and Henkel, Joachim and Hovenkamp, Erik and Husovec, Martin and Jakobs, Kai and Kim, Dong-hyu and Lemley, Mark A. and Love, Brian J. and McDonagh, Luke and Scott Morton, Fiona M. and Schultz, Jason and Simcoe, Timothy and Urban, Jennifer M. and Xiang, Joy Y} } @Inproceedings { 2023-grote-mvca-fairness, title = {Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls}, year = {2023}, month = {6}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-grote-mvca-fairness.pdf}, publisher = {IFIP/IEEE}, booktitle = {Proceedings of the Network Traffic Measurement and Analysis Conference (TMA '23)}, ISBN = {978-3-903176-58-4}, DOI = {10.23919/TMA58422.2023.10199019}, reviewed = {1}, author = {Grote, Laurenz and Kunze, Ike and Sander, Constantin and Wehrle, Klaus} } @Article { 2023-circres-wu-comp-ecosystem, title = {Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk}, journal = {Circulation research}, year = {2023}, month = {4}, day = {14}, volume = {132}, number = {8}, pages = {1084-1100}, abstract = {The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data–scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.}, keywords = {disease progression; ecosystem; heart; kidney; multimorbidity}, tags = {coat-ers}, misc2 = {Online}, language = {en}, DOI = {10.1161/CIRCRESAHA.123.321765}, reviewed = {1}, author = {Wu, Zhuojun and Lohm{\"o}ller, Johannes and Kuhl, Christiane and Wehrle, Klaus and Jankowski, Joachim} } @Incollection { 2023_pennekamp_crd-a.i, title = {Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead}, year = {2023}, month = {2}, day = {8}, pages = {35-60}, abstract = {The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.}, keywords = {Cyber-physical production systems; Data streams; Industrial data processing; Industrial network security; Industrial data security; Secure industrial collaboration}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-pennekamp-iop-a.i.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_2}, reviewed = {1}, author = {Pennekamp, Jan and Belova, Anastasiia and Bergs, Thomas and Bodenbenner, Matthias and B{\"u}hrig-Polaczek, Andreas and Dahlmanns, Markus and Kunze, Ike and Kr{\"o}ger, Moritz and Geisler, Sandra and Henze, Martin and L{\"u}tticke, Daniel and Montavon, Benjamin and Niemietz, Philipp and Ortjohann, Lucia and Rudack, Maximilian and Schmitt, Robert H. and Vroomen, Uwe and Wehrle, Klaus and Zeng, Michael} } @Incollection { 2023_rueppel_crd-b2.ii, title = {Model-Based Controlling Approaches for Manufacturing Processes}, year = {2023}, month = {2}, day = {8}, pages = {221-246}, abstract = {The main objectives in production technology are quality assurance, cost reduction, and guaranteed process safety and stability. Digital shadows enable a more comprehensive understanding and monitoring of processes on shop floor level. Thus, process information becomes available between decision levels, and the aforementioned criteria regarding quality, cost, or safety can be included in control decisions for production processes. The contextual data for digital shadows typically arises from heterogeneous sources. At shop floor level, the proximity to the process requires usage of available data as well as domain knowledge. Data sources need to be selected, synchronized, and processed. Especially high-frequency data requires algorithms for intelligent distribution and efficient filtering of the main information using real-time devices and in-network computing. Real-time data is enriched by simulations, metadata from product planning, and information across the whole process chain. Well-established analytical and empirical models serve as the base for new hybrid, gray box approaches. These models are then applied to optimize production process control by maximizing the productivity under given quality and safety constraints. To store and reuse the developed models, ontologies are developed and a data lake infrastructure is utilized and constantly enlarged laying the basis for a World Wide Lab (WWL). Finally, closing the control loop requires efficient quality assessment, immediately after the process and directly on the machine. This chapter addresses works in a connected job shop to acquire data, identify and optimize models, and automate systems and their deployment in the Internet of Production (IoP).}, keywords = {Process control; Model-based control; Data aggregation; Model identification; Model optimization}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-rueppel-iop-b2.i.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_7}, reviewed = {1}, author = {R{\"u}ppel, Adrian Karl and Ay, Muzaffer and Biernat, Benedikt and Kunze, Ike and Landwehr, Markus and Mann, Samuel and Pennekamp, Jan and Rabe, Pascal and Sanders, Mark P. and Scheurenberg, Dominik and Schiller, Sven and Xi, Tiandong and Abel, Dirk and Bergs, Thomas and Brecher, Christian and Reisgen, Uwe and Schmitt, Robert H. and Wehrle, Klaus} } @Incollection { 2023_klugewilkes_crd-b2.iv, title = {Modular Control and Services to Operate Line-less Mobile Assembly Systems}, year = {2023}, month = {2}, day = {8}, pages = {303-328}, abstract = {The increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different levels of LMAS, starting with the macroscopic level of formation planning, followed by the mesoscopic level of mobile robot control and multipurpose input devices and the microscopic level of services, such as interpreting autonomous decisions and in-network computing. We provide cross-level data and knowledge transfer through a novel ontology-based knowledge management. Overall, our work contributes to future safe and predictable human-robot collaboration in dynamic LMAS stations based on accurate online formation and motion planning of mobile robots, novel human-machine interfaces and networking technologies, as well as trustworthy AI-based decisions.}, keywords = {Lineless mobile assembly systems (LMAS); Formation planning; Online motion planning; In-network computing; Interpretable AI; Human-machine collaboration; Ontology-based knowledge management}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-klugewilkes-iop-b2.iv.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_13}, reviewed = {1}, author = {Kluge-Wilkes, Aline and Baier, Ralph and Gossen, Daniel and Kunze, Ike and M{\"u}ller, Aleksandra and Shahidi, Amir and Wolfschl{\"a}ger, Dominik and Brecher, Christian and Corves, Burkhard and H{\"u}sing, Mathias and Nitsch, Verena and Schmitt, Robert H. and Wehrle, Klaus} }