Privacy-preserving image processing in cloud computing

Kui REN

doi:10.11959/j.issn.2096-109x.2016.00020

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Privacy-preserving image processing in cloud computing

Comprehensive Reviews | 更新时间：2024-06-03

- Privacy-preserving image processing in cloud computing
- Chinese Journal of Network and Information Security Vol. 2, Issue 1, Pages: 12-17(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2016.00020
  CLC： TP393
- Online First：2016-01，
  
  Published：15 January 2016
- 稿件说明：
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Kui REN. Privacy-preserving image processing in cloud computing[J]. Chinese Journal of Network and Information Security, 2016, 2(1): 12-17.
DOI：

Kui REN. Privacy-preserving image processing in cloud computing[J]. Chinese Journal of Network and Information Security, 2016, 2(1): 12-17. DOI： 10.11959/j.issn.2096-109x.2016.00020.

摘要

摘要：近年来，随着图像数据与云计算平台的快速增长，各种各样的图像处理应用蓬勃发展。与此同时，针对用户外包数据中敏感信息的滥用所产生的安全问题也成为了人们关注的焦点。在现实中，一旦上传到云平台，用户隐私信息的安全只能单纯依赖于云服务提供商的信用。为解决这一问题，对于图像数据处理中的安全性要求与技术难点进行了研究与分析，并提出了多个在保护外包图像数据安全性的同时实现图像处理应用的功能性要求的解决方案。之后针对云计算中的图像数据的隐私保护问题，介绍并分析了多种包括同态加密体系、安全多方计算以及差分隐私在内的当前最新技术。

Abstract

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).

关键词

Keywords

references

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