Lightning-fast and privacy-preserving outsourced computation in the cloud

In this paper, we propose a framework for lightning-fast privacy-preserving outsourced computation framework in the cloud, which we refer to as LightCom. Using LightCom, a user can securely achieve the outsource data storage and fast, secure data processing in a single cloud server different from th...

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Main Authors: LIU, Ximeng, DENG, Robert H., WU, Pengfei, YANG, Yang
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5490
https://ink.library.smu.edu.sg/context/sis_research/article/6493/viewcontent/s42400_020_00057_3.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-64932022-11-03T06:24:29Z Lightning-fast and privacy-preserving outsourced computation in the cloud LIU, Ximeng DENG, Robert H. WU, Pengfei YANG, Yang In this paper, we propose a framework for lightning-fast privacy-preserving outsourced computation framework in the cloud, which we refer to as LightCom. Using LightCom, a user can securely achieve the outsource data storage and fast, secure data processing in a single cloud server different from the existing multi-server outsourced computation model. Specifically, we first present a general secure computation framework for LightCom under the cloud server equipped with multiple Trusted Processing Units (TPUs), which face the side-channel attack. Under the LightCom, we design two specified fast processing toolkits, which allow the user to achieve the commonly-used secure integer computation and secure floating-point computation against the side-channel information leakage of TPUs, respectively. Furthermore, our LightCom can also guarantee access pattern protection during the data processing and achieve private user information retrieve after the computation. We prove that the proposed LightCom can successfully achieve the goal of single cloud outsourced data processing to avoid the extra computation server and trusted computation server, and demonstrate the utility and the efficiency of LightCom using simulations. 2020-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5490 info:doi/10.1186/s42400-020-00057-3 https://ink.library.smu.edu.sg/context/sis_research/article/6493/viewcontent/s42400_020_00057_3.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Secret sharing technique Secure outsourced computation Against side-channel attack Homomorphic encryption Privacy-preserving Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Secret sharing technique
Secure outsourced computation
Against side-channel attack
Homomorphic encryption
Privacy-preserving
Information Security
spellingShingle Secret sharing technique
Secure outsourced computation
Against side-channel attack
Homomorphic encryption
Privacy-preserving
Information Security
LIU, Ximeng
DENG, Robert H.
WU, Pengfei
YANG, Yang
Lightning-fast and privacy-preserving outsourced computation in the cloud
description In this paper, we propose a framework for lightning-fast privacy-preserving outsourced computation framework in the cloud, which we refer to as LightCom. Using LightCom, a user can securely achieve the outsource data storage and fast, secure data processing in a single cloud server different from the existing multi-server outsourced computation model. Specifically, we first present a general secure computation framework for LightCom under the cloud server equipped with multiple Trusted Processing Units (TPUs), which face the side-channel attack. Under the LightCom, we design two specified fast processing toolkits, which allow the user to achieve the commonly-used secure integer computation and secure floating-point computation against the side-channel information leakage of TPUs, respectively. Furthermore, our LightCom can also guarantee access pattern protection during the data processing and achieve private user information retrieve after the computation. We prove that the proposed LightCom can successfully achieve the goal of single cloud outsourced data processing to avoid the extra computation server and trusted computation server, and demonstrate the utility and the efficiency of LightCom using simulations.
format text
author LIU, Ximeng
DENG, Robert H.
WU, Pengfei
YANG, Yang
author_facet LIU, Ximeng
DENG, Robert H.
WU, Pengfei
YANG, Yang
author_sort LIU, Ximeng
title Lightning-fast and privacy-preserving outsourced computation in the cloud
title_short Lightning-fast and privacy-preserving outsourced computation in the cloud
title_full Lightning-fast and privacy-preserving outsourced computation in the cloud
title_fullStr Lightning-fast and privacy-preserving outsourced computation in the cloud
title_full_unstemmed Lightning-fast and privacy-preserving outsourced computation in the cloud
title_sort lightning-fast and privacy-preserving outsourced computation in the cloud
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/5490
https://ink.library.smu.edu.sg/context/sis_research/article/6493/viewcontent/s42400_020_00057_3.pdf
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