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Oblivious Multi-Keyword Search for Secure Cloud Storage Service
2017 IEEE International Conference on Web Services (ICWS), 2017Outsource encrypted data has attracted attentions from industry and academics for storing sensitive data in third party clouds. Many cloud applications need privacy preserving multiple keywords search services over encrypted data with dual capabilities. On one hand, they need to keep the query keywords and associated search operations private such that
Rui Zhang +3 more
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Fast Multi-keywords Search over Encrypted Cloud Data
2016Searchable encryption (SE) allows a client to store his data in the Cloud in a way that it is encrypted but still searchable by the server. However, when doing multi-keywords search (MKS), most SE schemes seems to be rather inefficient. In this paper, we design and implement an SE scheme that allows the MKS indices to be pre-built secretly at the ...
Cheng Hong +3 more
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Generic Multi-keyword Ranked Search on Encrypted Cloud Data
2019Although searchable encryption schemes allow secure search over the encrypted data, they mostly support conventional Boolean keyword search, without capturing any relevance of the search results. This leads to a large amount of post-processing overhead to find the most matching documents and causes an unnecessary communication cost between the servers ...
Shabnam Kasra Kermanshahi +3 more
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Secure multi-keyword search supporting dynamic update and ranked retrieval
China Communications, 2016As cloud computing is becoming prevalent, data owners are motivated to delegate complex data managements to the commercial cloud for economic savings. Sensitive data is usually encrypted before being uploaded to the cloud, which unfortunately makes the frequently-used search function a challenging problem.
Jingbo Yan, Yuqing Zhang, Xuefeng Liu
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Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data
2016To preserve data privacy and integrity, sensitive data has to be encrypted before outsourcing to the cloud server. However, this makes keyword search based on plaintext queries obsolete. Therefore, supporting efficient keyword based ranked searches over encrypted data became an open challenge.
Daudi Mashauri +5 more
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Multi-keyword Parallel Search Algorithm for Streaming RDF Data
2018The existing keyword-based search algorithms based on streaming data are hard to meet the needs of users for real-time data processing. To solve this problem, multi-keyword parallel search algorithm for streaming RDF data (MPSASR) proposed in this paper combines the Spark and Redis frameworks to construct query subgraphs integrated with ontology based ...
Jian Guan, Jingbin Wang, Long Yu
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Multi-keyword Ranked Fuzzy Keyword Search Over Encrypted Cloud Data
2019The cloud servers help in sharing data among the people within an organization or outside it. The outsourcing of one’s data over the Internet has become much easier with the help of the newer technology, the cloud servers. The cloud servers help in sharing data among the people within an organization or outside it. As security over the cloud has become
null Saba, Shridevi Karande
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Privacy-Preserving Attribute-Based Keyword Search in Shared Multi-owner Setting
IEEE Transactions on Dependable and Secure Computing, 2021Yinbin Miao +2 more
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VRFMS: Verifiable Ranked Fuzzy Multi-keyword Search over Encrypted Data
IEEE Transactions on Services Computing, 2022Xinghua Li, Yinbin Miao, Jian Weng
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