Offering Two-Way Privacy for Evolved Purchase Inquiries

IF 3.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet Technology Pub Date : 2023-05-25 DOI:10.1145/3599968
J. Pennekamp, M. Dahlmanns, Frederik Fuhrmann, T. Heutmann, Alexander Kreppein, Dennis Grunert, Christoph Lange, R. Schmitt, Klaus Wehrle
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引用次数: 1

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 only 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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为进化的购买查询提供双向隐私
动态和灵活的业务关系在未来将变得更加重要,以适应专门的变更请求或小批量生产。如今,买家和卖家必须在实际生产之前提前披露产品的敏感信息。然而,如果没有信任关系,这种情况对相关公司来说是不稳定的,因为他们担心自己的竞争力。到目前为止,相关工作忽略了这个问题:现有的方法只保护一方的信息,阻碍了动态和按需的业务关系。为了弥补隐私保护不足的信息的相应研究空白,并与没有建立信任关系的公司打交道,我们追求创新的隐私保护采购查询方向,将其无缝集成到当今既定的供应商管理和采购流程中。利用私有计算的成熟构建块,如私有集交集和同态加密,我们提出了两种隐私和性能影响略有不同的设计,以安全地实现互联网上的购买查询。特别是,我们允许买家在不分享敏感信息的情况下考虑更多潜在卖家,并减轻卖家反复准备精心设计但被丢弃的报价的负担。我们使用生产技术领域的两个真实世界用例来展示我们的方法的可扩展性。总的来说,我们提供了可部署的设计,为购买查询提供双向隐私,从而填补了目前阻碍建立动态灵活业务关系的空白。未来,我们预计这一被忽视领域的研究活动将大幅增加,以满足不断发展的生产环境的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Internet Technology
ACM Transactions on Internet Technology 工程技术-计算机:软件工程
CiteScore
10.30
自引率
1.90%
发文量
137
审稿时长
>12 weeks
期刊介绍: ACM Transactions on Internet Technology (TOIT) brings together many computing disciplines including computer software engineering, computer programming languages, middleware, database management, security, knowledge discovery and data mining, networking and distributed systems, communications, performance and scalability etc. TOIT will cover the results and roles of the individual disciplines and the relationshipsamong them.
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