Call For Paper

Volume 6 Issue 8

August 2020

Submit Paper Here
Download Paper Format
Copyright Form
NEWS & UPDATES
News for Authors:

We have started accepting articles by online means directly through website. Its our humble request to all the researchers to go and check the new method of article submission on below link: Submit Manuscript

Follow us on Social Media:

Dear Researchers, to get in touch with the recent developments in the technology and research and to gain free knowledge like , share and follow us on various social media. Facebook

title

Secure Rule Generation and Deep Computational Feature Learning model for Cloud Based Big Data

Author(s):

Prajakta Shirke

Keywords:

Deep computational model, Privacy preservation, computational model, cloud, big data feature learning, encryption.

Abstract

In the work of big data analysis and its mining, feature learning plays a very important and fundamental role. The big data has various properties including volume, variety and velocity. Such properties become the challenging problems in the process of feature learning. Aiming to these problems, deep computational learning model is proposed here. This model is extended with the algorithm named as privacy preserving high order back propagation algorithm. The security of information is maintained during the deep computational over cloud big data, with the BGV fully homomorphism encryption scheme. In addition, rule generation method for frequent pattern generation is used with FP-Growth algorithm. The experimental results prove that the proposed system performs effective and efficient feature learning over cloud based big data.

Other Details

Paper ID: IJSARTV
Published in: Volume : 3, Issue : 8
Publication Date: 8/2/2017

Article Preview




Download Article