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@Inproceedings { 2023_sloun_accessibility,
   title = {Poster: Vulcan - Repurposing Accessibility Features for Behavior-based Intrusion Detection Dataset Generation},
   year = {2023},
   month = {11},
   day = {27},
   pages = {3543-3545},
   abstract = {The generation of datasets is one of the most promising approaches to collecting the necessary behavior data to train machine learning models for host-based intrusion detection. While various dataset generation methods have been proposed, they are often limited and either only generate network traffic or are restricted to a narrow subset of applications. We present Vulcan, a preliminary framework that uses accessibility features to generate datasets by simulating user interactions for an extendable set of applications. It uses behavior profiles that define realistic user behavior and facilitate dataset updates upon changes in software versions, thus reducing the effort required to keep a dataset relevant. Preliminary results show that using accessibility features presents a promising approach to improving the quality of datasets in the HIDS domain.},
   keywords = {Intrusion Detection, Dataset Generation, Accessibility Features},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-sloun-vulcan-accessibility.pdf},
   publisher = {ACM},
   booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS '23), November 26-30, 2023, Copenhagen, Denmark},
   event_place = {Copenhagen, Denmark},
   event_date = {November 26-30, 2023},
   ISBN = {979-8-4007-0050-7/23/11},
   DOI = {10.1145/3576915.3624404},
   reviewed = {1},
   author = {van Sloun, Christian and Wehrle, Klaus}
}

@Inproceedings { 2023_lohmoeller_transparency,
   title = {Poster: Bridging Trust Gaps: Data Usage Transparency in Federated Data Ecosystems},
   year = {2023},
   month = {11},
   day = {27},
   keywords = {data usage control; data ecosystems; transparency logs},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-lohmoeller-transparency.pdf},
   publisher = {ACM},
   booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on
Computer and Communications Security (CCS ’23), November 26-30, 2023, Copenhagen, Denmark},
   event_place = {Copenhagen, Denmark},
   event_date = {November 26-30, 2023},
   ISBN = {979-8-4007-0050-7/23/11},
   DOI = {10.1145/3576915.3624371},
   reviewed = {1},
   author = {Lohm{\"o}ller, Johannes and Vlad, Eduard and Dahlmanns, Markus and Wehrle, Klaus}
}

@Inproceedings { 2023_pennekamp_benchmarking_comparison,
   title = {Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking},
   year = {2023},
   month = {6},
   day = {15},
   volume = {13901},
   pages = {489-505},
   abstract = {Benchmarking is an essential tool for industrial organizations to identify potentials that allows them to improve their competitive position through operational and strategic means. However, the handling of sensitive information, in terms of (i) internal company data and (ii) the underlying algorithm to compute the benchmark, demands strict (technical) confidentiality guarantees—an aspect that existing approaches fail to address adequately. Still, advances in private computing provide us with building blocks to reliably secure even complex computations and their inputs, as present in industry benchmarks. In this paper, we thus compare two promising and fundamentally different concepts (hardware- and software-based) to realize privacy-preserving benchmarks. Thereby, we provide detailed insights into the concept-specific benefits. Our evaluation of two real-world use cases from different industries underlines that realizing and deploying secure information systems for industry benchmarking is possible with today's building blocks from private computing.},
   note = {Lecture Notes in Computer Science (LNCS), Volume 13901},
   keywords = {real-world computing; trusted execution environments; homomorphic encryption; key performance indicators; benchmarking},
   tags = {internet-of-production},
   url = {https://jpennekamp.de/wp-content/papercite-data/pdf/plv+23.pdf},
   publisher = {Springer},
   booktitle = {Proceedings of the 35th International Conference on Advanced Information Systems Engineering (CAiSE '23), June 12-16, 2023, Zaragoza, Spain},
   event_place = {Zaragoza, Spain},
   event_name = {35th International Conference on Advanced Information Systems Engineering (CAiSE '23)},
   event_date = {June 12-16, 2023},
   ISBN = {978-3-031-34559-3},
   ISSN = {0302-9743},
   DOI = {10.1007/978-3-031-34560-9_29},
   reviewed = {1},
   author = {Pennekamp, Jan and Lohm{\"o}ller, Johannes and Vlad, Eduard and Loos, Joscha and Rodemann, Niklas and Sapel, Patrick and Fink, Ina Berenice and Schmitz, Seth and Hopmann, Christian and Jarke, Matthias and Schuh, G{\"u}nther and Wehrle, Klaus and Henze, Martin}
}

@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}
}