The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
BibTex Citation Data :
@article{JOIV267,
author = {Selasi Ocansey and Charles Fynn Oduro},
title = {Achieving Lightweight Verifiable Privacy Preserving Search Over Encrypted Data},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {3},
number = {3},
year = {2019},
keywords = {Verifiable Search, Outsourced Database; Cloud Computing; Privacy Preserving},
abstract = {When cloud clients outsource their database to the cloud, they entrust management operations to a cloud service provider who is expected to answer the client’s queries on the cloud where database is located. Efficient techniques can ensure critical requirements for outsourced data’s integrity and authenticity. A lightweight privacy preserving verifiable scheme for outsourcingdatabase securely is proposed, our scheme encrypts data before outsourcing and returned query results are verified with parameters of correctness and completeness. Our scheme is projected on lightweight homomorphic encryption technique and bloom filter which are efficiently authenticated to guarantee the outsourced database’s integrity, authenticity, and confidentiality. An ordering challenge technique is proposed for verifying top-k query results. We conclude by detailing our analysis of security proofs, privacy, verifiability and the performance efficiency of our scheme. Our proposed scheme’s proof and evaluation analysis show its security and efficiency for practical deployment. We also evaluate our scheme’s performances over two UCI data sets.},
issn = {2549-9904}, pages = {269--274}, doi = {10.30630/joiv.3.3.267},
url = {http://joiv.org/index.php/joiv/article/view/267}
}
Refworks Citation Data :
@article{{JOIV}{267}, author = {Ocansey, S., Fynn Oduro, C.}, title = {Achieving Lightweight Verifiable Privacy Preserving Search Over Encrypted Data}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {3}, number = {3}, year = {2019}, doi = {10.30630/joiv.3.3.267}, url = {} }Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.