Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy
Lingjuan Lyu, Sid Chi-Kin Chau, Nan Wang, Yifeng Zheng

TL;DR
This paper introduces privacy-preserving protocols for sharing economy applications on the cloud, enabling fair cost-sharing and schedule privacy using homomorphic encryption, with practical evaluation and prototype implementation.
Contribution
It presents novel cloud-based privacy-preserving protocols based on homomorphic encryption for collaborative consumption, ensuring user privacy and fair cost-sharing without third-party involvement.
Findings
Protocols effectively protect user schedules and demands.
System prototype demonstrates practical feasibility.
Evaluation confirms protocol efficiency and privacy preservation.
Abstract
Cloud computing has been a dominant paradigm for a variety of information processing platforms, particularly for enabling various popular applications of sharing economy. However, there is a major concern regarding data privacy on these cloud-based platforms. This work presents novel cloud-based privacy-preserving solutions to support collaborative consumption applications for sharing economy. In typical collaborative consumption, information processing platforms need to enable fair cost-sharing among multiple users for utilizing certain shared facilities and communal services. Our cloud-based privacy-preserving protocols, based on homomorphic Paillier cryptosystems, can ensure that the cloud-based operator can only obtain an aggregate schedule of all users in facility sharing, or a service schedule conforming to service provision rule in communal service sharing, but is unable to track…
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