Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment

Huang, Y, Li, B, Liu, Z, Yiu, S-M, Baker, T and Gupta, BB ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment. IEEE Transactions on Services Computing. ISSN 1939-1374 (Accepted)

[img]
Preview
Text
ThinORAM.pdf - Accepted Version

Download (3MB) | Preview

Abstract

Oblivious RAM (ORAM) is important for applications that require hiding of access patterns. However, most of existing implementations of ORAM are very expensive, which are infeasible to be deployed in lightweight devices, likethe gateway devices as fog nodes. In this paper, we focus on how to apply the expensive ORAM to protect access pattern in lightweight devices and propose an ORAM scheme supporting thin-client, called “ThinORAM”, under non-colluding clouds. Our proposed scheme removes complicated computations in the client side and requires only O (1) communication cost with a reasonable response time. We further show how to securely deploy ThinORAM in the fog computing environment to achieve oblivious data access with minimum client cost. Experiments show that our scheme can eliminate most of the client storage and reduce the cloud-cloud bandwidth by 2 ×, with 2 × faster response time, when compared to the best scheme that aims at reducing client side overheads.

Item Type: Article
Additional Information: © 2019 IEEE
Uncontrolled Keywords: 0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: IEEE
Date Deposited: 06 Jan 2020 10:44
Last Modified: 06 Jan 2020 10:45
DOI or Identification number: 10.1109/TSC.2019.2962110
URI: http://researchonline.ljmu.ac.uk/id/eprint/11946

Actions (login required)

View Item View Item