Secure semantic expansion based search over encrypted cloud data supporting similarity ranking
نویسندگان
چکیده
منابع مشابه
Secure keyword-based Ranked Semantic Search over Encrypted Cloud Data
With the advent of cloud computing, many organizations and individuals are interested in outsourcing their complex data management to the public cloud for economic savings and ease of access. As sensitive information may have to be encrypted before outsourcing, the data utilization service based on plaintext keyword search is not suitable for the encrypted cloud data. In this paper, we propose ...
متن کاملSecure Multi-keyword Similarity Search Over Encrypted Cloud Data Supporting Efficient Multi-user Setup
Searchable encryption allows one to store encrypted documents on a remote honest-butcurious server, and query that data at the server itself without requiring the documents to be decrypted prior to searching. This not only protects the data from the prying eyes of the server, but can also reduce the communication overhead between the server and the user and local processing at the latter. Previ...
متن کاملPrivacy- Preserving Keyword-based Semantic Search over Encrypted Cloud Data
To protect the privacy, sensitive information has to be encrypted before outsourcing to the cloud. Thus the effective data utilization becomes a significant challenge. Searchable encryption scheme has been developed to conduct retrieval over encrypted data. However, these schemes only support exact keyword search. Recent fuzzy search schemes mainly evaluate the similarity of keywords from the s...
متن کاملA Unified Framework for Secure Search Over Encrypted Cloud Data
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...
متن کاملMulti-keyword Similarity Search over Encrypted Cloud Data
Searchable encryption allows one to upload encrypted documents on a remote honest-but-curious server and query that data at the server itself without requiring the documents to be decrypted prior to searching. In this work, we propose a novel secure and efficient multi-keyword similarity searchable encryption (MKSim) that returns the matching data items in a ranked ordered manner. Unlike all pr...
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ژورنال
عنوان ژورنال: Journal of Cloud Computing: Advances, Systems and Applications
سال: 2014
ISSN: 2192-113X
DOI: 10.1186/preaccept-1025135849106903