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Secure Cloud-Assisted Data Pub/Sub Service With Fine-Grained Bilateral Access Control

  • Kai Zhang
  • , Xiwen Wang
  • , Jianting Ning*
  • , Junqing Gong
  • , Xinyi Huang
  • *此作品的通讯作者
  • Shanghai University of Electric Power
  • Fujian Normal University
  • City University of Macau
  • The Hong Kong University of Science and Technology (Guangzhou)
  • Ministry of Education of the People's Republic of China

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Secure cloud-assisted data publish/subscribe (Pub/Sub) service provides an asynchronous method for publishers and subscribers to non-interactively exchange encrypted messages. Besides performing conjunctive subscription policy, numerous data Pub/Sub systems have recently been proposed to provide dynamic access control enforced from the publisher side to the subscriber side. However, these solutions fail to consider the following properties: (i) bilateral access control for both publishers and subscribers; (ii) the anonymity of the publisher; (iii) high matching time cost between publication and subscription. Therefore, we present P/S-BiAC, a secure and boolean cloud-assisted data Pub/Sub system with attribute-based bilateral access control that achieves authenticity and anonymity of publishers. In particular, P/S-BiAC enables cloud-based brokers to use the subscriber's trapdoor to match published data with sub-linear time complexity. Technically, we introduce a 'BiAC-and-Hidden' technique to refine publication tuples and trapdoor in classic searchable symmetric encryption solutions. Moreover, we implement P/S-BiAC and evaluate its practical performance based on Enron dataset in real cloud environment. To deal with a conjunctive subscription policy, P/S-BiAC runs 27.8× faster for matching time cost (with s -term=10) compared to state-of-the-art solutions, which demonstrates its feasibility in practical data Pub/Sub services with strong security properties.

源语言英语
页(从-至)5286-5301
页数16
期刊IEEE Transactions on Information Forensics and Security
卷18
DOI
出版状态已出版 - 2023

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