International Journal of Scientific and Research Publications

Home
About Us
Editorial Board

Online Publication

Log In
New User?
       Register Now!
Forgot Password?
       Email Password!


Call For Papers

Call for Research Paper

Authors

Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue
Resources
FAQs

Reviewer

Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

E-Journal
Print Journal

Downloads

IJSRP Paper Format
Instructions

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 9, Issue 2, February 2019 Edition [ISSN 2250-3153]



      Masroor Khan

Abstract: The aim of the paper is to enhance the cloud security and improve the data efficiency in cloud outsourcing. As the secu-rity of the cloud data is an important issue in cloud outsourc-ing, proper algorithm is necessary. Here in this paper a mech-anism for the cloud security has been proposed. The mecha-nism propose two algorithm, one is based on machine learning and another is based on neural network. The machine learn-ing base algorithm is based on the KNN algorithm and the neural network technique is based on data fragmentation and hashing technology. Both of these algorithms are efficient to enhance the cloud security through encryption for cloud data in the cloud server.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

Masroor Khan (2019); A Cloud Security Model Based On Machine Learning and Neuron Network; International Journal of Scientific and Research Publications (IJSRP) 9(2) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.02.2019.p8659

IJSRP PUBLICATIONS

Home

About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Subscribe
Get Social with Us!



Copyright © 2011-2016, IJSRP Inc., All rights reserved.