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Safe Multi Keyword Ranked Search over Encrypted Cloud Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pradnya, Haval Mohanpurkar, Arti |
| Copyright Year | 2016 |
| Abstract | To get more flexibility, data owner interested to outsource their complex data set on the cloud. Cloud computing provides data outsourcing and data high quality service. For data security, the data owner provides encryption on their data. Hence, for Low cost and low computational overhead the data owner migrates their data on the cloud. In subsisting system, for the first instance, the conundrum of privacypreserving multi-keyword ranked search over encrypted data in cloud computing (MRSE) is define and solve. The basic idea of MRSE mechanism is to perform a safe inner product calculation, and then gives two appreciably improved MRSE schemes (Coordinate matching and Inner product similarity) to achieve various privacy requirements in two different models. Advance tree based index structure and numerous adaptive approaches for multi-dimensional (MD) algorithm are propose to increase the search efficiency so that the technical search efficiency is more than that of linear search. General Terms Multi keyword Rank search, MD Algorithm, vector Space Model. |
| Starting Page | 11 |
| Ending Page | 15 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.5120/cae2016652309 |
| Volume Number | 5 |
| Alternate Webpage(s) | https://www.caeaccess.org/archives/volume5/number6/unde-2016-cae-652309.pdf |
| Alternate Webpage(s) | https://doi.org/10.5120/cae2016652309 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
