DOTNET PROJECT
Novel
Multi-Keyword Search on Encrypted Data in the Cloud
Abstract:
Searching on encrypted data has become a
very important technique in cloud computing. Such searches enable the data
owner to search on the encrypted data stored on the cloud without leaking any
information. To obtain a better search experience, researchers have proposed
many schemes which mainly focus on conjunctive and disjunctive keyword
searches. However, conjunction of all the keywords may result in very few
results, whereas a disjunction will return too many results. With the current
schemes, customizing the relevancy of the keywords to obtain the desired
results is difficult. To solve these problems, we propose a novel scheme that
supports the search with the user-specified number of keywords contained in the
search result. This number n can be used to customize the keyword relevancy. As
a result, the data owner could obtain the desired search results containing any
n keywords of a keyword set. The proposed scheme also supports the traditional
disjunctive and conjunctive keyword searches when n equals 1 or the size of the
keyword set, respectively. The keyword could be positive or negative. We first
formally define its security and then prove that the proposed scheme is secure
against the adaptively chosen keyword attack in the standard model and can
defend against the offline keyword guessing attack to some extent. Furthermore,
we present a theoretical performance comparison with other schemes as well as
the experimental performance evaluations on our implemented scheme.
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