Achieving Universal Assured Fine-Grained Query Result Verification for Secure Search Scheme over Encrypted Cloud Data

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Achieving secure, universal, and fine-grained query results verification for secure search scheme over encrypted cloud data

Secure search techniques over encrypted cloud data allow an authorized user to query data files of interest by submitting encrypted query keywords to the cloud server in a privacy-preserving manner. However, in practice, the returned query results may be incorrect or incomplete in the dishonest cloud environment. For example, the cloud server may intentionally omit some qualified results to sav...

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A query privacy-enhanced and secure search scheme over encrypted data in cloud computing

Article history: Received 17 December 2015 Received in revised form 4 December 2016 Accepted 16 December 2016 Available online xxxx

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This paper presents a unified framework that supports different types of privacy-preserving search queries over encrypted cloud data. In the framework, users can perform any of the multi-keyword search, range search and k-nearest neighbor search operations in a privacypreserving manner. All three types of queries are transformed into predicate-based search leveraging bucketization, locality sen...

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With the increased rate of growth and adaptation of cloud computing, daily, more and more sensitive information is being centralized onto the cloud. For the protection of valuable proprietary information, the data must be encrypted before outsourcing. There is no tolerance for typos and format inconsistencies which are normal user behavior. This makes effective data storage and utilization a ve...

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Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data

Fine-grained multi-keyword search schemes over encrypted cloud data. Our innovative donations are three-fold. First, we commence the application scores and partiality factors upon keywords which facilitate the particular keyword search and modified user familiarity. we auxiliary take up the confidential sub-dictionaries procedure to accomplish better effectiveness on index structure, trapdoor g...

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ژورنال

عنوان ژورنال: International Journal of Science and Management Studies (IJSMS)

سال: 2020

ISSN: 2581-5946

DOI: 10.51386/25815946/ijsms-v3i3p113