Secure Encrypted Image Search in Mobile Cloud Computing

Qin Zou, Jianfeng Wang, Xiaofeng Chen
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引用次数: 7

Abstract

Mobile could computing is an area of cloud computing which considers resource constrained devices. Therefore there naturally appears a new design goal which is efficiency of mobile client applications. In this paper we consider encrypted image search schemes. In particular, we design a scheme for which distances between encrypted images are close to distances between images in plaintexts, which allows for more efficient search mechanisms. At the same time, this scheme can ensure privacy of image content. Previous solutions achieve this goal by exploiting homomorphic encryption schemes, which are far to inefficient and hard to realize on the resource constrained mobile devices. In this paper, we introduce a novel encryption search scheme for CBIR (Content-Based Image Retrieval) by using comparable encryption. Our scheme greatly reduces the amount of computation on the client side, and improves the distance consistency and precision of fuzzy search, compared to previous solutions.
移动云计算中的安全加密图像搜索
移动云计算是云计算的一个领域,它考虑了资源受限的设备。因此,新的设计目标自然就出现了,那就是提高移动客户端应用程序的效率。本文研究了加密图像搜索方案。特别是,我们设计了一个方案,加密图像之间的距离接近明文图像之间的距离,这允许更有效的搜索机制。同时,该方案可以保证图像内容的保密性。以前的解决方案通过利用同态加密方案来实现这一目标,但在资源受限的移动设备上,这种方案效率低下且难以实现。本文提出了一种基于内容的图像检索(Content-Based Image Retrieval,简称CBIR)加密搜索方案。与以往的方案相比,我们的方案大大减少了客户端的计算量,提高了模糊搜索的距离一致性和精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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