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@Inproceedings { 2024-dahlmanns-fps,
   title = {Collectively Enhancing IoT Security: A Privacy-Aware Crowd-Sourcing Approach},
   year = {2024},
   volume = {14551},
   abstract = {Security configurations remain challenging for trained administrators. Nowadays, due to the advent of the Internet of Things (IoT), untrained users operate numerous and heterogeneous Internet-facing services in manifold use case-specific scenarios. In this work, we close the growing gap between the complexity of IoT security configuration and the expertise of the affected users. To this end, we propose ColPSA, a platform for collective and privacy-aware security advice that allows users to optimize their configuration by exchanging information about what security can be realized given their IoT deployment and scenario.},
   editor = {Mohamed Mosbah, Florence S{\`e}des, Nadia Tawbi, Toufik Ahmed, Nora Boulahia-Cuppens, Joaquin Garcia-Alfaro},
   publisher = {Springer Cham},
   series = {Lecture Notes in Computer Science},
   booktitle = {Proceedings of the 16th International Symposium on Foundations and Practice of Security (FPS '23), December 11-13, 2023, Bordeaux, France},
   event_place = {Bordeaux, France},
   event_name = {International Symposium on Foundations and Practice of Security 2023 (FPS 23)},
   event_date = {December 11-13, 2023},
   state = {unpublished},
   DOI = {10.1007/978-3-031-57540-2_2},
   reviewed = {1},
   author = {Dahlmanns, Markus and Matzutt, Roman and Dax, Chris and Wehrle, Klaus}
}

@Inproceedings { 2019-dahlmanns-icnp-knowledgeSystem,
   title = {Privacy-Preserving Remote Knowledge System},
   year = {2019},
   month = {10},
   day = {7},
   abstract = {More and more traditional services, such as malware detectors or collaboration services in industrial scenarios, move to the cloud. However, this behavior poses a risk for the privacy of clients since these services are able to generate profiles containing very sensitive information, e.g., vulnerability information or collaboration partners. Hence, a rising need for protocols that enable clients to obtain knowledge without revealing their requests exists. To address this issue, we propose a protocol that enables clients (i) to query large cloud-based knowledge systems in a privacy-preserving manner using Private Set Intersection and (ii) to subsequently obtain individual knowledge items without leaking the client’s requests via few Oblivious Transfers. With our preliminary design, we allow clients to save a significant amount of time in comparison to performing Oblivious Transfers only.},
   note = {Poster Session},
   keywords = {private query protocol; knowledge system; remote knowledge; private set intersection; oblivious  transfer},
   tags = {kimusin; internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-dahlmanns-knowledge-system.pdf},
   publisher = {IEEE},
   booktitle = {Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA},
   event_place = {Chicago, IL, USA},
   event_name = {27th IEEE International Conference on Network Protocols (ICNP 2019)},
   event_date = {7-10. Oct. 2019},
   ISBN = {978-1-7281-2700-2},
   ISSN = {2643-3303},
   DOI = {10.1109/ICNP.2019.8888121},
   reviewed = {1},
   author = {Dahlmanns, Markus and Dax, Chris and Matzutt, Roman and Pennekamp, Jan and Hiller, Jens and Wehrle, Klaus}
}