计算机科学
云计算
加密
访问控制
匿名
计算机安全
服务(商务)
计算机网络
出版
匹配(统计)
元组
数据库
操作系统
统计
业务
经济
数学
离散数学
广告
经济
作者
Kai Zhang,Xiwen Wang,Jianting Ning,Junqing Gong,Xinyi Huang
标识
DOI:10.1109/tifs.2023.3303720
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.
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