Reputation Systems for Supply Chains
- Consumers frequently interact with reputation systems to rate products, services, and deliveries. While past research extensively studied different conceptual approaches to realize such systems securely and privacy-preservingly, these concepts are not yet in use in business-to-business environments. In this paper, (1) we thus outline which specific challenges privacy-cautious stakeholders in volatile supply chain networks introduce, (2) give an overview of the diverse landscape of privacy-preserving reputation systems and their properties, and (3) based on well-established concepts from supply chain information systems and cryptography, we further propose an initial concept that accounts for the aforementioned challenges by utilizing fully homomorphic encryption. For future work, we identify the need of evaluating whether novel systems address the supply chain-specific privacy and confidentiality needs.
| Author: | Lennart BaderORCiD, Jan PennekampORCiD, Emildeon ThevarajORCiD, Maria SpißORCiD, Salil S. KanhereORCiD, Klaus WehrleORCiD |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-031-63989-0_24 |
| ISBN: | 9783031639883 |
| ISSN: | 1867-8211 |
| Parent Title (English): | Mobile and Ubiquitous Systems: Computing, Networking and Services 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I |
| Subtitle (English): | The Challenge of Achieving Privacy Preservation |
| Series (Serial Number): | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (593) |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2024/07/19 |
| Date of first Publication: | 2024/07/19 |
| Release Date: | 2025/09/15 |
| Tag: | 03 Anonymity; Confidentiality; FHE 1; SCM; Votee; Voter |
| Page Number: | 12 |
| First Page: | 464 |
| Last Page: | 475 |
| Note: | CoE IoP: Cluster of Excellence "Internet of Production (IoP)"
The goal of the research project "CoE IoP" was to improve cross-domain collaboration over the entire product lifecycle by real-time capable and context-dependent provision of all relevant data.
Benefits for the target group:
Greater transparency with regard to and more confidence in decision-making needs, influencing factors and uncertainties as well as in the effects of areas such as product development and use
Radically reduce the amount of time required to bring the production system back to a stable state after process adjustments and thus cope with rapid change requests
Duration: 01.01.2019 – 31.12.2024
Funding no.: WS CRD B3 (I & II)
Funding: Deutsche Forschungsgemeinschaft (DFG)
Promoters: Deutsche Forschungsgemeinschaft (DFG)
Acknowledgments: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2023 Internet of Production – 390621612 and the Alexander von
Humboldt (AvH) Foundation. |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
