A Proficient Pattern of using Multi Keyword Search In Private Cloud For Multiuser Environment
Aurobind. G1, Shivamma. D2, Vijiyakumar. K3

1Aurobind. G, NIMHANS Digital Academy, National Institute of Mental Health And Neurosciences (NIMHANS), (An INI), Bangalore, Karnataka, India.
2Shivamma. D, NIMHANS Digital Academy, National Institute of Mental Health And Neurosciences (NIMHANS), (An INI), Bangalore, Karnataka, India. 
3Vijiyakumar. K, Department of Information Technology, Manakula Vinayagar Institute of Technology, Pondicherry, Tamilnadu, India.
Manuscript received on 20 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 3144-3147 | Volume-8 Issue-11, September 2019. | Retrieval Number: K25020981119/2019©BEIESP | DOI: 10.35940/ijitee.K2502.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A cloud system with computational services allowing users to access data, process and store features providing on-demand, a group of virtual remote servers, scalability, security, redundancy and elasticity. A model with many server for enabling convenient keys for a on-demand network access with a service provider interaction released with minimal management effort. The computing resources like networks, servers can be rapidly provisioned with a cloud based applications, and services to compute the shared pool of configurable devices, servers, storage. The encrypted data limits all the usage of networks due to the difficulty of searching over the usability of outsourced data to cloud. The privacy information are uploaded to the cloud and outsourced which are typically encrypted before likely to contain sensitive keywords for its consistent. In our paper, we present a scheme which overcomes the above complexity. Here we use two different techniques FMSI AND FMS-II. First comes the simple keyword search using relevance score and preference factors. On other hand it supports the logic gate operations like “AND”,”OR”,”NOT” to find the relationship between the keywords and the document. By using these techniques the user can get a improvised search experience in encrypted cloud area. Finally, we tend to improve the single user search to multi user search by using many to many cardinality.
Keywords: A Proficient Pattern of using Multi Keyword Search In Private Cloud For Multiuser Environment.
Scope of the Article: Environmental Engineering