SSIR: Secure similarity image retrieval in IoT
SSIR: Secure similarity image retrieval in IoT
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DOI：
10.1016/j.ins.2018.11.046
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
Hongyang Yan;Zhe Chen;Chunfu Jia
中科院分区：
文献类型：
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作者：
Hongyang Yan;Zhe Chen;Chunfu Jia
随着物联网（IoT）技术的发展，我们正在进入计算技术的新时代。这项新兴技术可以让每个人和所有事物实现互联。因此，物联网将一些智能封装在连接互联网的对象中，以通过智能设备进行通信、交换信息、共享多媒体数据、做出决策、调用各种操作并提供令人惊叹的服务。大量的敏感信息和图像、视频等多媒体数据正在共享，从而在网络中产生流量。此外，多媒体数据包含高维属性，影响物联网环境中的图像处理，包括存储和检索。此外，有限的存储能力和计算能力是智能设备的缺点，这使得情况变得更加复杂。为了克服这个问题，用户更愿意将多媒体数据存储在云服务器上，以便在智能设备中灵活地进行本地存储和计算，但仍然存在安全和隐私问题。为了摆脱这一挑战，英特尔软件防护扩展（SGX）的出现提供了一种新的解决方案。本文提出了一种基于基于内容的图像检索（CBIR）原语的新型安全相似性图像检索（SSIR）方案来保护图像搜索。此外，所提出的SSIR方案使资源有限的客户端能够将图像处理以及外包搜索操作转移到云服务器，从而降低成本。此外，安全分析表明我们的方案在所提出的模型中是安全的。实验结果表明，我们的方案非常适合实际应用中的图像检索。
With the development of the Internet of Things (IoT) technology, we are entering a new era of computing technology. This emerging technology allows connectivity for everyone and everything. Thus, IoT encapsulates some intelligence in Internet-connected objects to communicate, exchange information, sharing multimedia data, take a decision, invoke various actions and provide amazing services through smart devices. A huge amount of sensitive information and multimedia data such as images and videos are sharing which generates traffic in the network. Moreover, multimedia data contains high dimension property, which affects image processing including storage and retrieval in IoT environment. Additionally, limited storage capabilities and computing power are drawbacks of smart devices which makes the situation more complicated. To overcome this problem, users prefer to store their multimedia data on a cloud server to make local storage and computation flexible in smart devices, but still security and privacy concerns. To get rid of this challenges, the emergence of Intel Software Guard Extension (SGX) provide a new solution. In this paper, a novel secure similarity image retrieval (SSIR) scheme based on the primitive of content-based image retrieval (CBIR) is proposed to protect the images search. In addition, the proposed SSIR scheme enables the resource-constrained clients to move the process of images as well as the outsource searching operations to the cloud server which reduce the cost. Furthermore, the security analysis shows our scheme is secure in the proposed model. Experiment results illustrate that our scheme is well fitting for images retrieval in practical applications.