Efficient Keyword Search over Encrypted Cloud Data
نویسندگان
چکیده
منابع مشابه
Conjunctive Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
As Cloud Computing becomes prevalent, more and more sensitive information are centralized into the cloud. For the protect data privacy, sensitive data usually have to be encrypted before outsourcing, which makes efficient data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to search over encrypted data through keywords and selectively retrie...
متن کاملMSSS : Most Significant Single - keyword Search over Encrypted Cloud Data
Cloud Computing is a popular computing technique via the Internet. The data owner outsources local data to the public cloud server to reduce the cost of the data management. Sensitive data has to be encrypted to ensure privacy before outsourcing. All traditional Searchable Symmetric Encryption (SSE) schemes search only over encrypted data through keywords,hence they do not provide effective dat...
متن کاملPrivacy Preserving Ranked Keyword Search over Encrypted Cloud Data
We present a scheme that discusses secure rank based keyword search over an encrypted cloud data. The data that has to be outsourced is encrypted using symmetric encryption algorithm for data confidentiality. The index file of the keyword set that has to be searched is outsourced to the local trusted server where the keyword set that is generated from the data files is also stored. This is done...
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: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.02.023