Privacy-preserving image processing in cloud computing

Enjoying the rapid growth of image data and cloud computing platforms, various image processing ap-plications have emerged and flourished in recent years. Meanwhile, the privacy concerns over the abuse of sensitive information contained in outsourced data also arise in public. In fact, once uploaded...

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Main Author: Kui REN
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2016-01-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00020
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author Kui REN
author_facet Kui REN
author_sort Kui REN
collection DOAJ
description Enjoying the rapid growth of image data and cloud computing platforms, various image processing ap-plications have emerged and flourished in recent years. Meanwhile, the privacy concerns over the abuse of sensitive information contained in outsourced data also arise in public. In fact, once uploaded to the cloud, the security of us-ers’ private information purely depends on the reliability of the cloud service providers (CSP). To solve this problem, the security requirements and technical challenges lain in privacy-preserving image processing based on different cloud computing architectures were studied, and several solutions to protect the security of outsourced data while enabling functionality of image processing applications were proposed. Several state-of-the-art techniques for secure image processing were introduced and analyzed, including homomorphic encryption (HE) scheme, secure multiparty computation (SMC) protocol, and differential privacy (DP).
format Article
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institution Kabale University
issn 2096-109X
language English
publishDate 2016-01-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-43e6fa4a136b4cd79b78dcf16a9f64e82025-01-15T03:04:16ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2016-01-012121759542805Privacy-preserving image processing in cloud computingKui RENEnjoying the rapid growth of image data and cloud computing platforms, various image processing ap-plications have emerged and flourished in recent years. Meanwhile, the privacy concerns over the abuse of sensitive information contained in outsourced data also arise in public. In fact, once uploaded to the cloud, the security of us-ers’ private information purely depends on the reliability of the cloud service providers (CSP). To solve this problem, the security requirements and technical challenges lain in privacy-preserving image processing based on different cloud computing architectures were studied, and several solutions to protect the security of outsourced data while enabling functionality of image processing applications were proposed. Several state-of-the-art techniques for secure image processing were introduced and analyzed, including homomorphic encryption (HE) scheme, secure multiparty computation (SMC) protocol, and differential privacy (DP).http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00020cloud computingimage processsecuritycryptographyprivacy preservation
spellingShingle Kui REN
Privacy-preserving image processing in cloud computing
网络与信息安全学报
cloud computing
image process
security
cryptography
privacy preservation
title Privacy-preserving image processing in cloud computing
title_full Privacy-preserving image processing in cloud computing
title_fullStr Privacy-preserving image processing in cloud computing
title_full_unstemmed Privacy-preserving image processing in cloud computing
title_short Privacy-preserving image processing in cloud computing
title_sort privacy preserving image processing in cloud computing
topic cloud computing
image process
security
cryptography
privacy preservation
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2016.00020
work_keys_str_mv AT kuiren privacypreservingimageprocessingincloudcomputing