一种新的云计算近似图像验证机制

Mengping Yin, Shichong Tan, Ning Zhang, Xiaotong Fu, Suchun Yuan
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引用次数: 0

摘要

随着云计算的日益普及,越来越多的数据,尤其是图像和视频存储在云服务器上。为了确保私有数据的安全,数据所有者通常会在将私有数据外包给云服务器之前对其进行加密。研究发现,存储外包中存在着高度相关的数据,可以从这些关联数据中提取出许多有用的信息,并将其用于基于云的服务。本文提出了一种移动设备云计算加密图像验证方案。许多现有方案侧重于验证外包文本数据或相同图像的查询结果。与之不同的是,该方案旨在验证相似图像查询结果的正确性。通过对相似图像的成功查询,可以节省移动设备的功耗和内存资源。在随机oracle模型下分析了该方案的安全性,分析表明该方案对自适应选择关键字攻击是安全的。实验结果表明,该方案是一种有效的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new approximate image verification mechanism in cloud computing
With the growing prevalence of cloud computing, more and more data especially images and videos are stored in cloud servers. To ensure the security of private data, data owners usually encrypt their private data before outsourcing the data to cloud servers. It is discovered that highly correlated data exist in storage outsourcing and much useful information can be extracted from these correlated data and used for cloud-based services. In the paper, we propose a scheme of encrypted image verification in cloud computing for mobile devices. Many existing schemes focus on verification of query results for outsourced text data or identical images. Different from that, the proposed scheme aims to verify the correctness of query results for similar images. Through the successful query of similar images, power and memory resources of mobile devices can be saved. The security of our scheme is analysed in the random oracle model, and analysis shows that the scheme is secure against adaptive chosen-keyword attack. And what's more, the experimental results demonstrate that our scheme is an efficient one.
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