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A Security Algorithm for Online Analytical Processing Data Cube

by Narander Kumar, Vishal Verma, Vipin Saxena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 14
Year of Publication: 2013
Authors: Narander Kumar, Vishal Verma, Vipin Saxena
10.5120/13807-1768

Narander Kumar, Vishal Verma, Vipin Saxena . A Security Algorithm for Online Analytical Processing Data Cube. International Journal of Computer Applications. 79, 14 ( October 2013), 7-10. DOI=10.5120/13807-1768

@article{ 10.5120/13807-1768,
author = { Narander Kumar, Vishal Verma, Vipin Saxena },
title = { A Security Algorithm for Online Analytical Processing Data Cube },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 14 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number14/13807-1768/ },
doi = { 10.5120/13807-1768 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:58.026572+05:30
%A Narander Kumar
%A Vishal Verma
%A Vipin Saxena
%T A Security Algorithm for Online Analytical Processing Data Cube
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 14
%P 7-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The progress of data exchange in the electronic way increases the requirement of data security. Since data security needs more resources to access stored the information this leads to new mechanism and algorithm. Therefore the researcher interest moves to provide different techniques for security concern. There are various mechanisms available in the literature for images and other concern. If there is use of on-line analytical processing (OLAP) data cube then there is lack of techniques or mechanisms in this area. In present work, a Security Encryption Algorithm for On-Line Analytical Processing (SEAOLAP) data cube. Since data cube provided itself is a technique to find the edges for business concern to any system. These edges are the most important data for any business system. The proposed technique is based on the logarithmic properties and power functions. Through these techniques after encryption we send only mathematical data for electronic communication. Only mathematical data is used in E-communication, which provides the strong encryption key to hide the information.

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Index Terms

Computer Science
Information Sciences

Keywords

OLAP SEAOLAP Data Cube e-communication UML

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