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1. 福建师范大学数学与信息学院,福建 福州 350100
2. 福建省网络安全与密码技术重点实验室,福建 福州 350100
3. 数字福建大数据安全技术研究所,福建 福州 350100
Online First:2019-08,
Published:15 August 2019
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Ying WU, Xuan LI, Biao JIN, et al. Survey on the privacy-preserving content based image retrieval[J]. Chinese Journal of Network and Information Security, 2019, 5(4): 14-28.
Ying WU, Xuan LI, Biao JIN, et al. Survey on the privacy-preserving content based image retrieval[J]. Chinese Journal of Network and Information Security, 2019, 5(4): 14-28. DOI: 10.11959/j.issn.2096-109x.2019035.
随着智能设备与社交媒体的广泛普及,图片数据的数量急剧增长,数据拥有者将本地数据外包至云平台,在云服务器上实现数据的存储、分享和检索。然而,图像数据含有大量有关用户的敏感信息,外部攻击者和不完全可信的云服务器都试图获取原始图像的内容,窥探用户隐私,造成严重的隐私泄露风险。回顾了近年来隐私保护需求下图像内容检索技术的研究进展,总结了应用于该技术的图像加密算法,包括同态加密、随机化加密和比较加密,围绕这3种密码技术,详细分析和比较了典型的解决方案,并介绍了索引构造的改进策略。最后,总结和展望了未来的研究趋势。
With the widespread popularity of smart devices and social media
the number of image data is exponentially increasing.The data owners tend to outsource the local data to the cloud servers
where data is stored
shared and retrieved.However
the content of users’ image data contains a lot of sensitive information
which may be exposed to the attackers and the incomplete trusted cloud servers
resulting in a serious risk of privacy leakage to users.The research progress of the content-based image retrieval technology under the privacy-preserving in recent years were reviewed
and the key image cryptographic technology were summarized
including homomorphic encryption
randomized encryption and comparative encryption.Around these techniques
the typical solutions are analyzed and compared in detail
and the improvement strategies of index construction are introduced.Finally
the future research directions are discussed.
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