This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-20 Creation time: 16-03-09 --- Number of references 2 inproceedings 2024-dahlmanns-fps Collectively Enhancing IoT Security: A Privacy-Aware Crowd-Sourcing Approach 2024 14551 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. Mohamed Mosbah, Florence Sèdes, Nadia Tawbi, Toufik Ahmed, Nora Boulahia-Cuppens, Joaquin Garcia-Alfaro Springer Cham Lecture Notes in Computer Science Proceedings of the 16th International Symposium on Foundations and Practice of Security (FPS '23), December 11-13, 2023, Bordeaux, France Bordeaux, France International Symposium on Foundations and Practice of Security 2023 (FPS 23) December 11-13, 2023 unpublished 10.1007/978-3-031-57540-2_2 1 MarkusDahlmanns RomanMatzutt ChrisDax KlausWehrle inproceedings 2019-dahlmanns-icnp-knowledgeSystem Privacy-Preserving Remote Knowledge System 2019 10 7 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. Poster Session private query protocol; knowledge system; remote knowledge; private set intersection; oblivious transfer kimusin; internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-dahlmanns-knowledge-system.pdf IEEE Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA Chicago, IL, USA 27th IEEE International Conference on Network Protocols (ICNP 2019) 7-10. Oct. 2019 978-1-7281-2700-2 2643-3303 10.1109/ICNP.2019.8888121 1 MarkusDahlmanns ChrisDax RomanMatzutt JanPennekamp JensHiller KlausWehrle