vABS: Towards Verifiable Attribute-Based Search over Shared Cloud Data

Yang Ji, Cheng Xu, Jianliang Xu, and Haibo Hu

Abstract

With the proliferation of cloud computing and data-as-a-service (DaaS), more and more organizations and individuals outsource their data to a third-party service provider. While enjoying the benefits of cloud-based data outsourcing, the data owners are at the risk of losing control of data integrity and access management. In this demonstration, we present a system called vABS, which enables verifiable Attribute-Based Search over shared cloud data. The vABS system adopts the common DaaS architecture, in which the server provides search services to users on behalf of data owners. By employing a novel zero-knowledge approach proposed in our prior work, vABS not only provides users with good search experiences, but also supports authenticated query processing with fine-grained access control, which is crucial to many high-security applications.
Type
Conference paper
Publication
In Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE ’19)
Date
April 2019
Note
Demo Paper, accepted to appear
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