تشابه امن بازیابی تصویر در اینترنت اشیا (SSIR)
Abstract
1- Introduction
2- Related work
3- Preliminaries
4- System model
5- System design
6- Security analysis
7- Performance evaluation
8- Discussion
9- Conclusion
References
Abstract
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.
Introduction
With the rapid development of the Internet of Things, smart devices have been widely used in our daily life, which attracts people to share multimedia data such as images or videos. Thus, a large amount of image data are flooding on the Internet [39]. Although smart devices bring a lot of convenience for people, due to the disadvantages of smart devices such as limited storage capability and computing power, users on the mobile device side cannot perform complex processing, especially image data with a high dimension. Therefore, in order to save the storage space and reduce the computation overhead of the client side, users usually outsource their images to the cloud server. This situation leads to the image search operated by the cloud server. Currently, a lot of companies and research institutes are working on developing the image retrieval systems [35, 36, 40]. The most popular image search systems include Google Similar Images and Baidu Shitu. But the security and privacy issues are still concerned because these systems are searching based on the original images. For example, when a client attends to retrieve some similarity images, he needs to upload the query image to the cloud server. Then the image content and his interests will are known by the cloud server. This will result in a privacy leak, especially the image content relates to the private photos or medical images.