T R A C K       P A P E R
ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in SaaS Cloud Computing

( Volume 5 Issue 6,June 2018 ) OPEN ACCESS
Author(s):

Sudhirkumar T Khelkar, Prof. Harish K. Barapatre

Abstract:

The innovation in cloud computing has encouraged the data owners to outsource their data managing system from local sites to profitable public cloud to increase affordability of services. But people can like full benefit of cloud computing, if we are able to report very real secrecy and security concerns that come with loading sensitive personal information then we have to increase security, privacy. In view of the huge number of data users, documents in the cloud, it is important for the search facility to agree multi keywords query and arrange for result comparison ranking to meet the actual need of data recovery search and not regularly distinguish the search results. Related mechanisms on searchable encryption emphasis on single keyword search or Boolean keyword search, and often sort the search outcomes. In our system, we explain and solve the interesting problem of privacy preserving multi keywords ranked search over encrypted cloud data, and create a set of strict privacy necessities for such a safe cloud data application system to be effected in real. We can add Document owner accounts, Cloud Server account, Admin account and grant permission to various privileges to different user.

DOI DOI :

https://dx.doi.org/10.31873/IJEAS.5.6.08

Paper Statistics:

Total View : 458 | Downloads : 449 | Page No: 21-23 |

Cite this Article:
Click here to get all Styles of Citation using DOI of the article.