Flexible and Efficient Multi-Keyword Ranked Searchable Attribute-Based Encryption Schemes

Je-Kuan Lin, Wun-Ting Lin, Jake Wu
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引用次数: 1

Abstract

Currently, cloud computing has become increasingly popular and thus, many people and institutions choose to put their data into the cloud instead of local environments. Given the massive amount of data and the fidelity of cloud servers, adequate security protection and efficient retrieval mechanisms for stored data have become critical problems. Attribute-based encryption brings the ability of fine-grained access control and can achieve a direct encrypted data search while being combined with searchable encryption algorithms. However, most existing schemes only support single-keyword or provide no ranking searching results, which could be inflexible and inefficient in satisfying the real world’s actual needs. We propose a flexible multi-keyword ranked searchable attribute-based scheme using search trees to overcome the above-mentioned problems, allowing users to combine their fuzzy searching keywords with AND–OR logic gates. Moreover, our enhanced scheme not only improves its privacy protection but also goes a step further to apply a semantic search to boost the flexibility and the searching experience of users. With the proposed index-table method and the tree-based searching algorithm, we proved the efficiency and security of our schemes through a series of analyses and experiments.
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灵活高效的多关键字排序可搜索属性加密方案
目前,云计算已经变得越来越流行,因此,许多人和机构选择将他们的数据放在云中而不是本地环境中。考虑到海量数据和云服务器的保真度,对存储数据进行充分的安全保护和有效的检索机制已成为关键问题。基于属性的加密带来了细粒度访问控制的能力,并且可以与可搜索的加密算法相结合,实现直接的加密数据搜索。然而,大多数现有方案只支持单个关键字或不提供排序搜索结果,这在满足现实世界的实际需求方面可能不够灵活和低效。为了克服上述问题,我们提出了一种灵活的基于搜索树的多关键字排序可搜索属性方案,允许用户将模糊搜索关键字与“与或”逻辑门相结合。此外,我们的改进方案不仅提高了其隐私保护,而且进一步应用了语义搜索,提高了用户的搜索灵活性和搜索体验。利用所提出的索引表方法和基于树的搜索算法,通过一系列的分析和实验证明了所提出方案的有效性和安全性。
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