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@Inproceedings { 2024_lohmoeller_tee_datasharing,
   title = {Complementing Organizational Security in Data Ecosystems with Technical Guarantees},
   year = {2024},
   month = {12},
   day = {19},
   abstract = {Federated data ecosystems continue to emerge to connect previously isolated data silos across organizational boundaries over the Internet. These platforms aim to facilitate data sharing while maintaining data sovereignty, which is supposed to empower data owners to retain control over their data. However, the employed organizational security measures, such as policy-enforcing middleware besides software certification, processes, and employees are insufficient to provide reliable guarantees against malicious insiders. This paper thus proposes a corresponding technical solution for federated platforms that builds on communication between Trusted Execution Environments (TEEs) and demonstrates the feasibility of technically enforceable data protection. Specifically, we provide dependable guarantees for data owners formulated via rich policies while maintaining usability as a general-purpose data exchange platform. Further, by evaluating a real-world use case that concerns sharing sensitive genomic data, we demonstrate its real-world suitability. Our findings emphasize the potential of TEEs in establishing trust and increasing data security for federated data scenarios far beyond a single use case.},
   tags = {internet-of-production;health},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2024/2024-lohmoeller-tee-data-sharing.pdf},
   publisher = {IEEE},
   booktitle = {Proceedings of the 1st Conference on Building a Secure and Empowered Cyberspace (BuildSEC '24), December 19-21, 2024, New Delhi, India},
   event_place = {New Delhi, India},
   event_name = {Building a Secure \& Empowered Cyberspace},
   event_date = {December 19-21, 2024},
   state = {accepted},
   language = {en},
   reviewed = {1},
   author = {Lohm{\"o}ller, Johannes and Matzutt, Roman and Loos, Joscha and Vlad, Eduard and Pennekamp, Jan and Wehrle, Klaus}
}

@Article { 2024_querfurth_mcbert,
   title = {mcBERT: Patient-Level Single-cell Transcriptomics Data Representation},
   journal = {bioRxiv},
   year = {2024},
   month = {11},
   day = {7},
   tags = {health},
   DOI = {10.1101/2024.11.04.621897},
   author = {von Querfurth, Benedikt and Lohm{\"o}ller, Johannes and Pennekamp, Jan and Bleckwehl, Tore and Kramann, Rafael and Wehrle, Klaus and Hayat, Sikander}
}

@Article { 2024_lohmoeller_sovereignty-survey,
   title = {The Unresolved Need for Dependable Guarantees on Security, Sovereignty, and Trust in Data Ecosystems},
   journal = {Data \& Knowledge Engineering},
   year = {2024},
   month = {5},
   day = {1},
   volume = {151},
   abstract = {Data ecosystems emerged as a new paradigm to facilitate the automated and massive exchange of data from heterogeneous information sources between different stakeholders. However, the corresponding benefits come with unforeseen risks as sensitive information is potentially exposed, questioning their reliability. Consequently, data security is of utmost importance and, thus, a central requirement for successfully realizing data ecosystems. Academia has recognized this requirement, and current initiatives foster sovereign participation via a federated infrastructure where participants retain local control over what data they offer to whom. However, recent proposals place significant trust in remote infrastructure by implementing organizational security measures such as certification processes before the admission of a participant. At the same time, the data sensitivity incentivizes participants to bypass the organizational security measures to maximize their benefit. This issue significantly weakens security, sovereignty, and trust guarantees and highlights that organizational security measures are insufficient in this context. In this paper, we argue that data ecosystems must be extended with technical means to (re)establish dependable guarantees. We underpin this need with three representative use cases for data ecosystems, which cover personal, economic, and governmental data, and systematically map the lack of dependable guarantees in related work. To this end, we identify three enablers of dependable guarantees, namely trusted remote policy enforcement, verifiable data tracking, and integration of resource-constrained participants. These enablers are critical for securely implementing data ecosystems in data-sensitive contexts.},
   keywords = {Data sharing; Confidentiality; Integrity protection; Data Markets; Distributed databases},
   tags = {internet-of-production; coat-ers; vesitrust; health},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2024/2024-lohmoeller-data-sovereignty-survey.pdf},
   publisher = {Elsevier},
   ISSN = {0169-023X},
   DOI = {10.1016/j.datak.2024.102301},
   reviewed = {1},
   author = {Lohm{\"o}ller, Johannes and Pennekamp, Jan and Matzutt, Roman and Schneider, Carolin Victoria and Vlad, Eduard and Trautwein, Christian and Wehrle, Klaus}
}

@Article { 2024_pennekamp_supply-chain-survey,
   title = {An Interdisciplinary Survey on Information Flows in Supply Chains},
   journal = {ACM Computing Surveys},
   year = {2024},
   month = {2},
   day = {1},
   volume = {56},
   number = {2},
   abstract = {Supply chains form the backbone of modern economies and therefore require reliable information flows. In practice, however, supply chains face severe technical challenges, especially regarding security and privacy. In this work, we consolidate studies from supply chain management, information systems, and computer science from 2010--2021 in an interdisciplinary meta-survey to make this topic holistically accessible to interdisciplinary research. In particular, we identify a significant potential for computer scientists to remedy technical challenges and improve the robustness of information flows. We subsequently present a concise information flow-focused taxonomy for supply chains before discussing future research directions to provide possible entry points.},
   keywords = {information flows; data communication; supply chain management; data security; data sharing; systematic literature review},
   tags = {internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2024/2024-pennekamp-supply-chain-survey.pdf},
   publisher = {ACM},
   ISSN = {0360-0300},
   DOI = {10.1145/3606693},
   reviewed = {1},
   author = {Pennekamp, Jan and Matzutt, Roman and Klinkm{\"u}ller, Christopher and Bader, Lennart and Serror, Martin and Wagner, Eric and Malik, Sidra and Spi{\ss}, Maria and Rahn, Jessica and G{\"u}rpinar, Tan and Vlad, Eduard and Leemans, Sander J. J. and Kanhere, Salil S. and Stich, Volker and Wehrle, Klaus}
}