High Dimensional Data’s sharing in Multi Users Cloud Environment using Big Data Classification Technique

Abstract

The Cloud Computing, becomes sensitive information are being increasingly centralized into the cloud. In support of the protection of data privacy, responsive data has to be encrypted previous to outsourcing, which makes effective data consumption a very difficult task. Although traditional searchable encryption schemes allow users to securely search over encrypted data throughout keywords, these technique support only Boolean search, without capturing any relevance of data files. This come up to suffers from two main drawbacks, Not using centralized data sharing mechanism, Also the perturbed data do not produce very accurate data mining results, who do not necessarily have pre-knowledge of the encrypted cloud data, to post process every retrieved file in order to find ones most matching their interest; On the other hand over, invariably recover all files contain the query keyword additional incur pointless network traffic, we propose to further extend the scheme is big data classification technique to consider the extensibility of the file locate and the multi-user cloud environments. On the way to this direction.Various initial results on the extensibility and the multiuser cloud environments. An extra interesting topic is to enlarge the very much scalable searchable encryption to enable capable search on huge practical databases. Here explore a AES based encryption technique where access key generation for user is based on access policies assigned to each user along with the attributes. The data stored in the cloud is encrypted using a key generated based on the access permissions assigned to the data and attributes of the owners who share their data with high security and integrity using policy based encryption technique

Authors and Affiliations

Keywords

Related Articles

Fabrication of rotating bending type fatigue testing machine

This project is centred on the design of a low–cost cantilever loading rotating bending fatigue testing machine using locally sourced materials. The design principle is based on the adaptation of the technical theory of...

Effective Key Management in Dynamic Wireless Sensor Networks

Recently, wireless detector networks (WSNs) haveBeendeployed for a good form of applications, includingmilitary sensing and pursuit, patient standing watching, trafficflow watching, wherever sensory devices typically mov...

Digital Image Watermarking Technique Using Discrete Wavelet Transform and Discrete Cosine Transform

Digital watermarking has been proposed as a viable solution to the need of copyright protection and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, dis...

High Dimensional Data’s sharing in Multi Users Cloud Environment using Big Data Classification Technique

The Cloud Computing, becomes sensitive information are being increasingly centralized into the cloud. In support of the protection of data privacy, responsive data has to be encrypted previous to outsourcing, which makes...

A Study on Data Mining Techniques and Its Role in Diagnosis in Medical Domain

Data mining technology provides a user familiarized approach to novel and hidden data within the information. Valuable information is discovered from application of knowledge mining techniques in attention system. data p...

Download PDF file
  • EP ID EP276912
  • DOI -
  • Views 88
  • Downloads 0

How To Cite

(2016). High Dimensional Data’s sharing in Multi Users Cloud Environment using Big Data Classification Technique. International Journal of Current Research in Multidisciplinary, 1(1), -. https://europub.co.uk/articles/-A-276912