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Outsourcing attribute-based encryption with multi-keywords and similarity ranking search

Authors: null Dan Wang; Zhenfu Cao; Xiaolei Dong;

Outsourcing attribute-based encryption with multi-keywords and similarity ranking search

Abstract

With the increasing popularity of cloud computing, a huge amount of documents are stored on the cloud for reduced management cost and ease of access. Although data encryption offers help in some ways, it leaves other privacy concerns behind when users want to share documents with others. Otherwise, the users often share documents in the ABE settings in order to support broadcasting, error-tolerace, etc, however, the Attribute Authority will bear mounts of computations. In this paper, we combine the secure outsourced ABE systems with the keywords search while supporting multi-keyword search and search result ranking, which let the data owner securely uploads the data to a third organization and the data user can search over the ciphertext with multi-keywords and decrypt it without much computation with the help of a third server.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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