Offering Two-way Privacy for Evolved Purchase Inquiries
ACM Transactions on Internet Technology, vol. 23, pp. 1–32
Abstract
Dynamic and flexible business relationships are expected to become more important in the future to accommodate specialized change requests or small-batch production. Today, buyers and sellers must disclose sensitive information on products upfront before the actual manufacturing. However, without a trust relation, this situation is precarious for the involved companies as they fear for their competitiveness. Related work overlooks this issue so far: existing approaches protect the information of a single party only, hindering dynamic and on-demand business relationships. To account for the corresponding research gap of inadequately privacy-protected information and to deal with companies without an established trust relation, we pursue the direction of innovative privacy-preserving purchase inquiries that seamlessly integrate into today’s established supplier management and procurement processes. Utilizing well-established building blocks from private computing, such as private set intersection and homomorphic encryption, we propose two designs with slightly different privacy and performance implications to securely realize purchase inquiries over the Internet. In particular, we allow buyers to consider more potential sellers without sharing sensitive information and relieve sellers of the burden of repeatedly preparing elaborate yet discarded offers. We demonstrate our approaches’ scalability using two real-world use cases from the domain of production technology. Overall, we present deployable designs that offer two-way privacy for purchase inquiries and, in turn, fill a gap that currently hinders establishing dynamic and flexible business relationships. In the future, we expect significantly increasing research activity in this overlooked area to address the needs of an evolving production landscape.
Authors 8
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Jan Pennekamp Aachen
Affiliation as printed
RWTH Aachen University, Germany
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Markus Dahlmanns Aachen
Affiliation as printed
RWTH Aachen University, Germany
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Frederik Fuhrmann Aachen
Affiliation as printed
RWTH Aachen University, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer IPT, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer IPT, Germany
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Fraunhofer Institute for Production Technology IPT
Affiliation as printed
Fraunhofer IPT, Germany
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Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer FIT, Germany, and RWTH Aachen University, Germany
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Robert Heinrich Schmitt Aachen
Fraunhofer Institute for Production Technology IPT · RWTH Aachen University
Affiliation as printed
RWTH Aachen University, Germany, and Fraunhofer IPT, Germany
Cited by 5 stored of 5
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Cited by patents worldwide 1 (Lens.org)
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Intelligent purchasing management method and system based on supplier information collaborative analysisCN118446782A 2024-08-06 Active