Research Article
Analytical Method to Compute the Cloud Computing Data Security Issues by Using Encryption Algorithms
@ARTICLE{10.4108/eai.13-7-2018.164555, author={Abdul Hannan Khan and Syed Anwer Hasnain and Shahan Yamin Siddiqui and Muhammad Sohail Irshad and Muhammad Sajid and Shahid Iqbal}, title={Analytical Method to Compute the Cloud Computing Data Security Issues by Using Encryption Algorithms}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={7}, number={28}, publisher={EAI}, journal_a={SIS}, year={2020}, month={5}, keywords={Advanced Encryption Standard (AES), Rivest-Shamir-Adleman Algorithm (RSA), CloudSim, IAAS, PAAS, SAAS, Key generation time, encryption execution time, and memory usage, file uploading time, and file downloading time}, doi={10.4108/eai.13-7-2018.164555} }- Abdul Hannan Khan
Syed Anwer Hasnain
Shahan Yamin Siddiqui
Muhammad Sohail Irshad
Muhammad Sajid
Shahid Iqbal
Year: 2020
Analytical Method to Compute the Cloud Computing Data Security Issues by Using Encryption Algorithms
SIS
EAI
DOI: 10.4108/eai.13-7-2018.164555
Abstract
All the associations are genuine thoughts to receive the cloud computing administrations, seeing its advantages as far as cost, openness, accessibility, adaptability and profoundly computerized procedure of upgrading. Cloud computing upgrade the present capacities progressively without further speculation. Cloud computing is a band of assets, applications, and administrations. With the execution of cloud computing, associations have solid worries about the security of their information. The research focuses on the security issues of cloud services. The AES and RSA algorithms will be verified on five parameters key generation time, encryption execution time, memory usage, file uploading time and file downloading time. The CloudSim simulator will be used to find results that the RSA is performing much better than AES in terms of encryption execution time.
Copyright © 2020 Abdul Hannan Khan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
