华南理工大学学报(自然科学版)

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加密域图像检索技术综述

梅园   叶登攀   刘昌瑞   

  1. 武汉大学 国家网络安全学院,湖北 武汉 430072
  • 收稿日期:2017-10-12 出版日期:2018-05-25 发布日期:2018-04-03
  • 通信作者: 梅园(1980-),女,博士生,主演研究方向为多媒体安全 E-mail:meiyuan_112@whu.edu.cn
  • 作者简介:梅园(1980-),女,博士生,主演研究方向为多媒体安全
  • 基金资助:
    国家自然科学基金联合基金资助项目( U1636101,U1636219,U1736211) ; 国家重点研究发展计划项目 ( 2016QY01W0200) 

Review of Image Retrieval Technologies in Encrypted Domain
 

 MEI Yuan YE Dengpan LIU Changrui    

  1.  School of Cyber Science and Engineering,Wuhan University,Wuhan 430072,Hubei,China
  • Received:2017-10-12 Online:2018-05-25 Published:2018-04-03
  • Contact: 梅园(1980-),女,博士生,主演研究方向为多媒体安全 E-mail:meiyuan_112@whu.edu.cn
  • About author:梅园(1980-),女,博士生,主演研究方向为多媒体安全
  • Supported by:
     Supported by the Joint Funds of the National Natural Science Foundation of China( U1636101, U1636219, U1736211) and the National Key Research Development Program of China( 2016QY01W0200) 

摘要:

公共云存储服务为企业或个人海量多媒体数据提供了廉价的存储空间和多种多 样的访问方法. 为了保护数据的安全,多媒体数据上传到云端之前的加密处理是一种最简 单也最直接的手段. 因此,在当前的各种应用服务下,如何有效地管理和检索密文数据成 为一个具有挑战性的问题. 针对该问题,文中首先给出了加密域图像检索的系统架构,总 结分析了加密域图像检索算法的几种关键技术,包括加密技术、图像特征提取技术、安全 索引技术等,然后分析、比较了几种具有代表性的加密域图像检索算法及其发展方向,最 后对加密域图像检索技术进行了展望. 

关键词: 密图检索, 安全索引, 加密技术, 特征提取

Abstract: With the growing popularity of the cloud storage,more and more enterprises or individuals having huge amounts of multimedia data can use cheap storage space and a wide variety of access methods. Considering the privacy security,before multimedia data are uploaded into the cloud,encryption is the simplest and the most direct method. However,most applications do not support managed and operated encrypted data. Therefore,how to effectively manage and retrieve the encrypted data becomes a challenging problem. Because of this problem, this paper first proposes a systematic framework,analyzes and summarizes several key technologies to search images in encrypted domain including encrypted technology,retrieval technology for image features,technology for safe index, etc. . Then,several representative retrieval algorithms and their development are analyzed and compared. Finally, the future of the technology to search encrypted images is prospected.With the growing popularity of the cloud storage,more and more enterprises or individuals having huge amounts of multimedia data can use cheap storage space and a wide variety of access methods. Considering the privacy security,before multimedia data are uploaded into the cloud,encryption is the simplest and the most direct method. However,most applications do not support managed and operated encrypted data. Therefore,how to effectively manage and retrieve the encrypted data becomes a challenging problem. Because of this problem, this paper first proposes a systematic framework,analyzes and summarizes several key technologies to search images in encrypted domain including encrypted technology,retrieval technology for image features,technology for safe index, etc. . Then,several representative retrieval algorithms and their development are analyzed and compared. Finally, the future of the technology to search encrypted images is prospected.

Key words:  encrypted images retrieval, safety index, encryption technology, feature extraction

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