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Implementing digital signature with RSA encryption algorithm to enhance the Data Security of cloud in Cloud Computing

Somani, Uma, Lakhani, Kanika, Mundra, Manish·2010·2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010)

Abstract

The cloud is a next generation platform that provides dynamic resource pools, virtualization, and high availability. Today, we have the ability to utilize scalable, distributed computing environments within the confines of the Internet, a practice known as cloud computing. Cloud computing is the Concept Implemented to decipher the Daily Computing Problems, likes of Hardware Software and Resource Availability unhurried by Computer users. The cloud Computing provides an undemanding and Non ineffectual Solution for Daily Computing. The prevalent Problem Associated with Cloud Computing is the Cloud security and the appropriate Implementation of Cloud over the Network. In this Research Paper, we have tried to assess Cloud Storage Methodology and Data Security in cloud by the Implementation of digital signature with RSA algorithm.

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Metadata

Authors
Somani, U., Lakhani, K., & Mundra, M.
Venue
2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010)
Publisher
IEEE
Published
2010-10
Pages
211-216
OpenAlex
W2071347401
Cited by
248
References
0
FWCI
6.52
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Implementing digital signature with RSA encryption algorithm to enhance the Data Security of cloud in Cloud Computing. https://app.cochat.ai/papers/10.1109/pdgc.2010.5679895
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Somani, U., Lakhani, K., & Mundra, M. (2010). Implementing digital signature with RSA encryption algorithm to enhance the Data Security of cloud in Cloud Computing. 2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010). https://doi.org/10.1109/pdgc.2010.5679895

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.