eprintid: 4623
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/46/23
datestamp: 2023-11-09 16:16:19
lastmod: 2023-11-09 16:16:19
status_changed: 2023-11-09 15:58:54
type: article
metadata_visibility: show
creators_name: Zardari, M.A.
creators_name: Jung, L.T.
creators_name: Zakaria, M.N.B.
title: Data classification based on confidentiality in virtual cloud environment
ispublished: pub
note: cited By 6
abstract: The aim of this study is to provide suitable security to data based on the security needs of data. It is very difficult to decide (in cloud) which data need what security and which data do not need security. However it will be easy to decide the security level for data after data classification according to their security level based on the characteristics of the data. In this study, we have proposed a data classification cloud model to solve data confidentiality issue in cloud computing environment. The data are classified into two major classes: sensitive and non-sensitive. The K-Nearest Neighbour (K-NN) classifier is used for data classification and the Rivest, Shamir and Adelman (RSA) algorithm is used to encrypt sensitive data. After implementing the proposed model, it is found that the confidentiality level of data is increased and this model is proved to be more cost and memory friendly for the users as well as for the cloud services providers. The data storage service is one of the cloud services where data servers are virtualized of all users. In a cloud server, the data are stored in two ways. First encrypt the received data and store on cloud servers. Second store data on the cloud servers without encryption. Both of these data storage methods can face data confidentiality issue, because the data have different values and characteristics that must be identified before sending to cloud severs. © Maxwell Scientific Organization, 2014.
date: 2014
publisher: Maxwell Science Publications
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921956446&doi=10.19026%2frjaset.8.1128&partnerID=40&md5=68e1360eaac39d6e0c7b8489f1496cb4
id_number: 10.19026/rjaset.8.1128
full_text_status: none
publication: Research Journal of Applied Sciences, Engineering and Technology
volume: 8
number: 13
pagerange: 1498-1509
refereed: TRUE
issn: 20407459
citation:   Zardari, M.A. and Jung, L.T. and Zakaria, M.N.B.  (2014) Data classification based on confidentiality in virtual cloud environment.  Research Journal of Applied Sciences, Engineering and Technology, 8 (13).  pp. 1498-1509.  ISSN 20407459