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  Published Paper Details:

  Paper Title

CLOUD DATA DOUBLE SECURITY USING DES AND ECC

  Authors

  Archana singh ,  Monika Sharma

  Keywords

: Cloud Computing, Elliptical Curve Cryptography, Cryptography

  Abstract


- Data security is, protecting data from ill- conceived get to, utilize, intrusion, change, examination, recording or destruction. Cloud computing is a network-based service that provide sharing of resources such as virtual machine, storage, network, software and applications etc. It helps to reduce capital costs since that cloud users only need to rent resources according to their requirements and pay the services they use. It is very flexible since users can access its service in any place through internet. However, a variety of security concerns such as integrity, availability and privacy act as barriers for cloud users to adopt the cloud service. The key issue in effective execution of Cloud Computing is to adequately deal with the security in the cloud applications. To secure the Cloud means secure the treatments (calculations) and storage (databases hosted by the Cloud provider). In this research paper, the proposed work plan is to eliminate the concerns regarding data privacy using two cryptographic algorithms back to back to enhance the security in cloud and provide the digital signature as per different perspective of cloud customers.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2004604

  Paper ID - 193401

  Page Number(s) - 4212-4220

  Pubished in - Volume 8 | Issue 4 | April 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Archana singh ,  Monika Sharma,   "CLOUD DATA DOUBLE SECURITY USING DES AND ECC", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 4, pp.4212-4220, April 2020, Available at :http://www.ijcrt.org/papers/IJCRT2004604.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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