Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy

07/15/2020
by   Lingjuan Lyu, et al.
0

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 the personal schedules or demands of individual users. More importantly, the participating users are still able to settle cost-sharing among themselves in a fair manner for the incurred costs, without knowing each other's private schedules or demands. Our privacy-preserving protocols involve no other third party who may compromise privacy. We also provide an extensive evaluation study and a proof-of-concept system prototype of our protocols.

READ FULL TEXT

Authors

page 2

page 11

11/03/2021

Privacy-Preserving Energy Storage Sharing with Blockchain and Secure Multi-Party Computation

Energy storage provides an effective way of shifting temporal energy dem...
01/23/2022

Building a Privacy-Preserving Smart Camera System

Millions of consumers depend on smart camera systems to remotely monitor...
10/19/2020

Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption

Set-based estimation has gained a lot of attention due to its ability to...
10/09/2019

Privacy-preserving and yet Robust Collaborative Filtering Recommender as a Service

Collaborative filtering recommenders provide effective personalization s...
04/03/2021

Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols

Recent developments in Machine Learning and Deep Learning depend heavily...
04/14/2020

PASTRAMI: Privacy-preserving, Auditable, Scalable Trustworthy Auctions for Multiple Items

Decentralised cloud computing platforms enable individuals to offer and ...
05/27/2022

Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization

Evolutionary algorithms (EAs), such as the genetic algorithm (GA), offer...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.