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Cluster Computing
Erschienen in: Cluster Computing 1/2019

02.02.2018

Cloud-assisted privacy-preserving profile-matching scheme under multiple keys in mobile social network

verfasst von: Chong-zhi Gao, Qiong Cheng, Xuan Li, Shi-bing Xia

Erschienen in: Cluster Computing | Sonderheft 1/2019

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Abstract

Making new friends by measuring the proximity of people’s profile is a crucial service in mobile social networks. With the rapid development of cloud computing, outsourcing computing and storage to the cloud is now an effective way to relieve the heavy burden on users for managing and processing data. To prevent privacy leakage, data owners tend to encrypt their private data before outsourcing. However, current solutions either have heavy interactions or require users to encrypt private data with a single key. In this paper, we propose a novel cloud-assisted privacy-preserving profile-matching scheme under multiple keys based on a proxy re-encryption scheme with additive homomorphism. Our scheme is secure under the honest-but-curious (HBC) model given two non-colluding cloud servers.
Vorheriger Artikel An optimized service broker routing policy based on differential evolution algorithm in fog/cloud environment
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Metadaten
Titel
Cloud-assisted privacy-preserving profile-matching scheme under multiple keys in mobile social network
verfasst von
Chong-zhi Gao
Qiong Cheng
Xuan Li
Shi-bing Xia
Publikationsdatum
02.02.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 1/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1649-y

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