Author, as appears in the article.: Wang H, Wang Z, Domingo-Ferrer J

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Domingo Ferrer, Josep

Keywords: Terminal device Homomorphic encryption Fog computing Cloud computing Anonymity

Abstract: By using fog computing, cloud computing can be extended to the edge of the network. Generally, in the public cloud, fog computing comprises three components: terminal device, fog node and public cloud server (PCS). In this paper, we propose the concept of anonymous and secure aggregation scheme (ASAS) in fog-based public cloud computing. In the ASAS model, a fog node aggregates the data from terminal nodes and forwards the aggregated data to the public cloud server. By using the ASAS scheme, the fog node can help terminal devices upload their data to PCS. By using the data aggregation technique, our ASAS scheme can save bandwidth between the fog node and PCS. At the same time, our ASAS scheme not only protects the identities of terminal devices by using pseudonyms but it also guarantees data secrecy via a homomorphic encryption technique. In this paper, we design the first concrete ASAS scheme. We also examine the security and the performance of our proposal, which we show to be provably secure and efficient.

ISSN: 0167-739X

Author's mail: josep.domingo@urv.cat

Author identifier: 0000-0001-7213-4962

Last page: 719

Record's date: 2023-02-26

Journal volume: 78

Papper version: info:eu-repo/semantics/submittedVersion

Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0167739X17302558

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Future Generation Computer Systems. 78 (2): 712-719

APA: Wang H, Wang Z, Domingo-Ferrer J (2018). Anonymous and secure aggregation scheme in fog-based public cloud computing. Future Generation Computer Systems, 78(2), 712-719. DOI: 10.1016/j.future.2017.02.032

Article's DOI: 10.1016/j.future.2017.02.032

Entity: Universitat Rovira i Virgili

Journal publication year: 2018

First page: 712

Publication Type: Journal Publications