DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 7 Issue 2 Date of Publication:   December 2018

A Survey on Multi Keyword Search Methods over Encrypted Data in Single Cloud Environment

S.Devi,V.SenthilKumar

Page(s):   62-65 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.007.002.002 Publisher:   Integrated Intelligent Research (IIR)

Cloud computing [11] is a tremendous growth in every years and it can be utility the computing and large storage capability to the public users. The data owner can store the data in the cloud server is called data outsourcing and then the cloud data access for public users through the cloud server. The outsourced data are contains sensitive privacy information and it can be encrypted before uploaded to the cloud server and then the search user can access to the data through the cloud server is some difficulty of searching over the encrypted data in cloud. In this paper address this problem by developed the fine-grained multi-keyword search scheme over encrypted data in the cloud. There are three contribution of this paper. First one is, to provided relevance scores and preference factors upon keywords which enabled the precise keyword search. Second one is, to developed a complicated logic search the mixed AND, OR and NO operations of multi-keyword search scheme. And finally, auxiliary employ the classified sub-dictionaries technique to accomplish the index building, trapdoor generating and query. By using this experiments to the real-world dataset, so easily retrieve the result from dataset.