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@Inproceedings { 2020_pennekamp_parameter_exchange,
   title = {Privacy-Preserving Production Process Parameter Exchange},
   year = {2020},
   month = {12},
   day = {10},
   pages = {510-525},
   abstract = {Nowadays, collaborations between industrial companies always go hand in hand with trust issues, i.e., exchanging valuable production data entails the risk of improper use of potentially sensitive information. Therefore, companies hesitate to offer their production data, e.g., process parameters that would allow other companies to establish new production lines faster, against a quid pro quo. Nevertheless, the expected benefits of industrial collaboration, data exchanges, and the utilization of external knowledge are significant.
In this paper, we introduce our Bloom filter-based Parameter Exchange (BPE), which enables companies to exchange process parameters privacy-preservingly. We demonstrate the applicability of our platform based on two distinct real-world use cases: injection molding and machine tools. We show that BPE is both scalable and deployable for different needs to foster industrial collaborations. Thereby, we reward data-providing companies with payments while preserving their valuable data and reducing the risks of data leakage.},
   keywords = {secure industrial collaboration; Bloom filter; oblivious transfer; Internet of Production},
   tags = {internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-pennekamp-parameter-exchange.pdf},
   publisher = {ACM},
   booktitle = {Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC '20), December 7-11, 2020, Austin, TX, USA},
   event_place = {Austin, TX, USA},
   event_date = {December 7-11, 2020},
   ISBN = {978-1-4503-8858-0/20/12},
   DOI = {10.1145/3427228.3427248},
   reviewed = {1},
   author = {Pennekamp, Jan and Buchholz, Erik and Lockner, Yannik and Dahlmanns, Markus and Xi, Tiandong and Fey, Marcel and Brecher, Christian and Hopmann, Christian and Wehrle, Klaus}
}

@Inproceedings { 2020_matzutt_anonboot,
   title = {Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services},
   year = {2020},
   month = {10},
   day = {7},
   pages = {531-542},
   abstract = {Distributed anonymity services, such as onion routing networks or cryptocurrency tumblers, promise privacy protection without trusted third parties. While the security of these services is often well-researched, security implications of their required bootstrapping processes are usually neglected: Users either jointly conduct the anonymization themselves, or they need to rely on a set of non-colluding privacy peers. However, the typically small number of privacy peers enable single adversaries to mimic distributed services. We thus present AnonBoot, a Sybil-resistant medium to securely bootstrap distributed anonymity services via public blockchains. AnonBoot enforces that peers periodically create a small proof of work to refresh their eligibility for providing secure anonymity services. A pseudo-random, locally replicable bootstrapping process using on-chain entropy then prevents biasing the election of eligible peers. Our evaluation using Bitcoin as AnonBoot's underlying blockchain shows its feasibility to maintain a trustworthy repository of 1000 peers with only a small storage footprint while supporting arbitrarily large user bases on top of most blockchains.},
   keywords = {anonymization; bootstrapping; public blockchain; Sybil attack; anonymity network; cryptocurrency tumbler; Bitcoin; Tor},
   tags = {impact_digital; digital_campus},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-matzutt-anonboot.pdf},
   publisher = {ACM},
   booktitle = {Proceedings of the 15th ACM ASIA Conference on Computer and Communications Security (ASIACCS '20), October 5-9, 2020, Taipei, Taiwan},
   event_place = {Taipei, Taiwan},
   event_name = {ASIACCS 2020},
   event_date = {October 5-9, 2020},
   ISBN = {978-1-4503-6750-9/20/10},
   DOI = {10.1145/3320269.3384729},
   reviewed = {1},
   author = {Matzutt, Roman and Pennekamp, Jan and Buchholz, Erik and Wehrle, Klaus}
}