vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval

Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu
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引用次数: 1

Abstract

We demonstrate vCBIR, a verifiable search engine for Content-Based Image Retrieval. vCBIR allows a small or medium-sized enterprise to outsource its image database to a cloud-based service provider and ensures the integrity of query processing. Like other common data-as-a-service (DaaS) systems, vCBIR consists of three parties: (i) the image owner who outsources its database, (ii) the service provider who executes the authenticated query processing, and (iii) the client who issues search queries. By employing a novel query authentication scheme proposed in our prior work [4], the system not only supports cloud-based image retrieval, but also generates a cryptographic proof for each query, by which the client could verify the integrity of query results. During the demonstration, we will showcase the usage of vCBIR and also provide attendees interactive experience of verifying query results against an untrustworthy service provider through graphical user interface (GUI).
基于内容的图像检索的可验证搜索引擎vCBIR
我们演示了vCBIR,一个基于内容的图像检索的可验证搜索引擎。vCBIR允许中小型企业将其图像数据库外包给基于云的服务提供商,并确保查询处理的完整性。与其他常见的数据即服务(DaaS)系统一样,vCBIR由三方组成:(i)将其数据库外包的映像所有者,(ii)执行身份验证查询处理的服务提供商,以及(iii)发出搜索查询的客户端。通过采用我们在之前的工作[4]中提出的一种新的查询认证方案,系统不仅支持基于云的图像检索,而且还为每个查询生成一个加密证明,客户端可以通过该验证查询结果的完整性。在演示过程中,我们将展示vCBIR的使用,并通过图形用户界面(GUI)为与会者提供针对不可信的服务提供商验证查询结果的交互式体验。
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