The Implementation and Comparative Analysis for Security Algorithms in Cloud Environment

Authors(2) :-D. Pharkkavi, Dr. D. Maruthanayagam

Cloud computing is a rising technology that is still unclear to many security issues. The cloud data and services reside in massively scalable data centers and can be accessed everywhere. The growth of the cloud users has unfortunately been accompanied with a growth in malicious activity in the cloud. More and more vulnerabilities are discovered, and nearly every day, new security advisories are published. Millions of users are surfing the Cloud for various purposes, therefore they need highly safe and persistent services. So the most challenging issue today in cloud servers is to ensure data security and privacy of the users. The different algorithms have been proposed to provide security to critical data. This paper gives a comparative analysis of some existing security algorithms in Cloud Computing. To ensure the security of data in cloud environment, also analyzed the performance of existing algorithm based on three parameters namely Time Complexity, Space Complexity and Throughput.

Authors and Affiliations

D. Pharkkavi
Research Scholar, Sri Vijay Vidyalaya College of Arts & Science, Dharmapuri, Tamilnadu, India
Dr. D. Maruthanayagam
Head/Professor, PG and Research Department of Computer Science, Sri Vijay Vidyalaya College of Arts & Science, Dharmapuri, Tamilnadu, India

Cloud Computing, Security, Encryption, Decryption, Public Key and Private Key.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 635-642
Manuscript Number : CSEIT1726186
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

D. Pharkkavi, Dr. D. Maruthanayagam, "The Implementation and Comparative Analysis for Security Algorithms in Cloud Environment", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.635-642, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726186

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