ABSTRACT:
With the
development of cloud storage, more data owners are inclined to outsource their
data to cloud services. For privacy concerns, sensitive data should be
encrypted before outsourcing. There are various searchable encryption schemes
to ensure data availability. However, the existing search schemes pay little
attention to the efficiency of data users’ queries, especially for the
multi-owner scenario. In this paper, we proposed a tree-based ranked
multi-keyword search scheme for multiple data owners. Specifically, by
considering a large amount of data in the cloud, we utilize the TF_ IDF model
to develop a multikeyword search and return the top-k ranked search results. To enable the cloud servers to perform a secure
search without knowing any sensitive data (e.g., keywords and trapdoors), we
construct a novel privacy preserving search protocol based on the bilinear
mapping. To achieve an efficient search, for each data owner, a tree-based
index encrypted with an additive order and privacy-preserving function family
is constructed. The cloud server can then merge these indexes effectively,
using the depth-first search algorithm to find the corresponding files.
Finally, the rigorous security analysis proves that our scheme is secure, and
the performance analysis demonstrates its efficacy and efficiency.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
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System : Pentium Dual Core.
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Hard Disk : 120 GB.
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Monitor : 15’’ LED
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Input Devices : Keyboard, Mouse
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Ram : 1 GB
SOFTWARE REQUIREMENTS:
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Operating system : Windows 7.
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Coding Language : JAVA/J2EE
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Tool : Netbeans 7.2.1
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Database : MYSQL
REFERENCE:
TIANYUE PENG ,
(Student Member, IEEE), YAPING LIN, (Member, IEEE), XIN YAO , (Student Member,
IEEE), AND WEI ZHANG, “An Efficient Ranked Multi-Keyword Search for Multiple
Data Owners Over Encrypted Cloud Data”, IEEE 2018.