research-article

Offering Two-way Privacy for Evolved Purchase Inquiries

Authors:

Markus Dahlmanns,

Frederik Fuhrmann,

Alexander Kreppein,

Dennis Grunert,

Christoph Lange,

Robert H. Schmitt,

Klaus WehrleAuthors Info & Claims

ACM Transactions on Internet Technology, Volume 23, Issue 4

Article No.: 53, Pages 1 - 32

https://doi.org/10.1145/3599968

Published: 17 November 2023 Publication History

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.

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Cited By

Pennekamp J(2024)Evolving the Industrial Internet of Things: The Advent of Secure CollaborationsNOMS 2024-2024 IEEE Network Operations and Management Symposium10.1109/NOMS59830.2024.10575325(1-6)Online publication date: 6-May-2024
https://doi.org/10.1109/NOMS59830.2024.10575325
Pennekamp JMatzutt RKlinkmüller CBader LSerror MWagner EMalik SSpiß MRahn JGürpinar TVlad ELeemans SKanhere SStich VWehrle K(2023)An Interdisciplinary Survey on Information Flows in Supply ChainsACM Computing Surveys10.1145/360669356:2(1-38)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3606693

Index Terms

Offering Two-way Privacy for Evolved Purchase Inquiries
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering
2. Security and privacy
  1. Security services
    1. Privacy-preserving protocols
  2. Software and application security
    1. Domain-specific security and privacy architectures

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cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 23, Issue 4

November 2023

249 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3633308

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Publication History

Published: 17 November 2023

Online AM: 25 May 2023

Accepted: 19 April 2023

Revised: 23 February 2023

Received: 15 March 2022

Published in TOIT Volume 23, Issue 4

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Pennekamp J(2024)Evolving the Industrial Internet of Things: The Advent of Secure CollaborationsNOMS 2024-2024 IEEE Network Operations and Management Symposium10.1109/NOMS59830.2024.10575325(1-6)Online publication date: 6-May-2024
https://doi.org/10.1109/NOMS59830.2024.10575325
Pennekamp JMatzutt RKlinkmüller CBader LSerror MWagner EMalik SSpiß MRahn JGürpinar TVlad ELeemans SKanhere SStich VWehrle K(2023)An Interdisciplinary Survey on Information Flows in Supply ChainsACM Computing Surveys10.1145/360669356:2(1-38)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3606693

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