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Abstract
The immense growth of data from the proliferation of Internet of Things (IoT) devices presents opportunities and challenges for privacy engineering. On the one hand, this data can be harnessed for personalized services, cost savings, and environmental benefits. On the other hand, (new) legislation must be complied with and privacy risks arise from collecting and processing of such data. Distributed privacy-preserving analytics offers a promising solution, providing insights while also protecting privacy. However, this approach has new challenges and risks, such as key management and confidentiality. When designing a data marketplace which offers distributed privacy-preserving analytics, the key management comes with different threats, which require a solution adapted to the distributed architecture. In this context, the paper presents a comprehensive, end-to-end secure system called MOZAIK for privacy-preserving data collection, analysis, and sharing. The article focuses on the key management aspect of the secure multi-party computation (MPC) component in a distributed privacy-preserving analytics architecture and the specific challenges created by introducing MPC. The proposed solution involves temporary storage of (symmetric) key shares and public-key encryption schemes to ensure secure key management for privacy-preserving computation. Our solution has the potential to be applied in other MPC-based setups, making it a valuable addition to the field of privacy engineering. By addressing key management challenges and risks, MOZAIK enhances data protection while enabling valuable insights from IoT data.
Keywords
ENCRYPTION, Key Management, Privacy-Preserving Computation, Secret Sharing, Secure Multi-Party Computation, GDPR, Data Intermediaries

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Citation

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MLA
Marque, Enzo, et al. “Secure Key Management for Multi-Party Computation in MOZAIK.” 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW, IEEE, 2023, pp. 133–40, doi:10.1109/EuroSPW59978.2023.00020.
APA
Marque, E., Moeyersons, J., Pohle, E., Van Kenhove, M., Abidin, A., & Volckaert, B. (2023). Secure key management for multi-party computation in MOZAIK. 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW, 133–140. https://doi.org/10.1109/EuroSPW59978.2023.00020
Chicago author-date
Marque, Enzo, Jerico Moeyersons, Erik Pohle, Michiel Van Kenhove, Aysajan Abidin, and Bruno Volckaert. 2023. “Secure Key Management for Multi-Party Computation in MOZAIK.” In 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW, 133–40. LOS: IEEE. https://doi.org/10.1109/EuroSPW59978.2023.00020.
Chicago author-date (all authors)
Marque, Enzo, Jerico Moeyersons, Erik Pohle, Michiel Van Kenhove, Aysajan Abidin, and Bruno Volckaert. 2023. “Secure Key Management for Multi-Party Computation in MOZAIK.” In 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW, 133–140. LOS: IEEE. doi:10.1109/EuroSPW59978.2023.00020.
Vancouver
1.
Marque E, Moeyersons J, Pohle E, Van Kenhove M, Abidin A, Volckaert B. Secure key management for multi-party computation in MOZAIK. In: 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW. LOS: IEEE; 2023. p. 133–40.
IEEE
[1]
E. Marque, J. Moeyersons, E. Pohle, M. Van Kenhove, A. Abidin, and B. Volckaert, “Secure key management for multi-party computation in MOZAIK,” in 2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW, TU Delft, ECHO, Delft, NETHERLANDS, 2023, pp. 133–140.
@inproceedings{01H9QY200G64NW2WGAP330985J,
  abstract     = {{The immense growth of data from the proliferation of Internet of Things (IoT) devices presents opportunities and challenges for privacy engineering. On the one hand, this data can be harnessed for personalized services, cost savings, and environmental benefits. On the other hand, (new) legislation must be complied with and privacy risks arise from collecting and processing of such data. Distributed privacy-preserving analytics offers a promising solution, providing insights while also protecting privacy. However, this approach has new challenges and risks, such as key management and confidentiality. When designing a data marketplace which offers distributed privacy-preserving analytics, the key management comes with different threats, which require a solution adapted to the distributed architecture.

 In this context, the paper presents a comprehensive, end-to-end secure system called MOZAIK for privacy-preserving data collection, analysis, and sharing. The article focuses on the key management aspect of the secure multi-party computation (MPC) component in a distributed privacy-preserving analytics architecture and the specific challenges created by introducing MPC. The proposed solution involves temporary storage of (symmetric) key shares and public-key encryption schemes to ensure secure key management for privacy-preserving computation. Our solution has the potential to be applied in other MPC-based setups, making it a valuable addition to the field of privacy engineering. By addressing key management challenges and risks, MOZAIK enhances data protection while enabling valuable insights from IoT data.}},
  author       = {{Marque, Enzo and Moeyersons, Jerico and Pohle, Erik and Van Kenhove, Michiel and Abidin, Aysajan and Volckaert, Bruno}},
  booktitle    = {{2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW}},
  isbn         = {{9798350327205}},
  issn         = {{2768-0649}},
  keywords     = {{ENCRYPTION,Key Management,Privacy-Preserving Computation,Secret Sharing,Secure Multi-Party Computation,GDPR,Data Intermediaries}},
  language     = {{eng}},
  location     = {{TU Delft, ECHO, Delft, NETHERLANDS}},
  pages        = {{133--140}},
  publisher    = {{IEEE}},
  title        = {{Secure key management for multi-party computation in MOZAIK}},
  url          = {{http://doi.org/10.1109/EuroSPW59978.2023.00020}},
  year         = {{2023}},
}

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