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Reseach Article

An Enhanced Framework for Storage of Packets Securely on Cloud using Channel Quality Measure

by Kannan A., Sukanya D., Elakya K.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 35
Year of Publication: 2020
Authors: Kannan A., Sukanya D., Elakya K.
10.5120/ijca2020920434

Kannan A., Sukanya D., Elakya K. . An Enhanced Framework for Storage of Packets Securely on Cloud using Channel Quality Measure. International Journal of Computer Applications. 176, 35 ( Jul 2020), 34-39. DOI=10.5120/ijca2020920434

@article{ 10.5120/ijca2020920434,
author = { Kannan A., Sukanya D., Elakya K. },
title = { An Enhanced Framework for Storage of Packets Securely on Cloud using Channel Quality Measure },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 35 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number35/31428-2020920434/ },
doi = { 10.5120/ijca2020920434 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:44:16.167700+05:30
%A Kannan A.
%A Sukanya D.
%A Elakya K.
%T An Enhanced Framework for Storage of Packets Securely on Cloud using Channel Quality Measure
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 35
%P 34-39
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The data which is outsourced is done based on cloud computing and there can be security reasons, the data can be compromised by performing attacks by other user and then among sensing points in the cloud. This project implements Optimized Centrality method which is energy efficient and also has good throughput. In the approach the sensing points are chosen based on residual energy and high channel quality, the sensing points which are not used in the path are then used for replication. The entire file is divided into fragments and then stored in the sensing points. The distance between the sensing points is computed by making use of T-color methods by making use of combination of (x,y). x is x position for the sensing point and y is y position of the sensing point. The proposed optimized centrality method is then compared against E-Centrality, Closeness Centrality and Between Centrality and then proved that proposed method is better with respect to delay, hops, energy consumption, efficient sensing points, in-efficient sensing points, security bytes’ usage. The proposed also stores the packets by making use of DES method which is more secure as compared to AES used by compared methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Between Centrality Closeness Centrality E-Centrality Sensing point Deployment