AI-generated privacy-preserving protocols for cross-cloud data sharing and collaboration

With the rapid evolution of cloud computing, individuals and organizations are managing data storage and collaboration in an entirely new way. Using blockchain technology, this paper introduces CloudShare, a new framework for sharing and collaborating across clouds using a secure, decentralized ecosystem. As a result of the proposed system,storage costs and upload bandwidth requirements are significantly reduced while data confidentiality and consistency are maintained. With CloudShare, you can encrypt and deduplicate data without relying on centralized authorities to protect your privacy. Simulated results demonstrate that the model is capable of optimizing resource utilization and efficiently securing sensitive data. A decentralized architectural model overcomes the limitations of traditional centralized cloud models, opening the door to innovative cloud computing applications.

Authors

Publication Details

Journal
Journal of Discrete Mathematical Sciences and Cryptography
Published
2025-01-01
DOI
https://doi.org/10.47974/jdmsc-2265
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
2.48
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article

AI-generated privacy-preserving protocols for cross-cloud data sharing and collaboration

Mohammed Hussein, Asma Ibrahim Hussein, Ohood Saadoon Hlail
1 citations
Journal of Discrete Mathematical Sciences and Cryptography
Privacy-Preserving Technologies in Data
2.48
article

AI-generated privacy-preserving protocols for cross-cloud data sharing and collaboration

Mohammed Hussein, Asma Ibrahim Hussein, Ohood Saadoon Hlail
article en
1 citations

Abstract

With the rapid evolution of cloud computing, individuals and organizations are managing data storage and collaboration in an entirely new way. Using blockchain technology, this paper introduces CloudShare, a new framework for sharing and collaborating across clouds using a secure, decentralized ecosystem. As a result of the proposed system,storage costs and upload bandwidth requirements are significantly reduced while data confidentiality and consistency are maintained. With CloudShare, you can encrypt and deduplicate data without relying on centralized authorities to protect your privacy. Simulated results demonstrate that the model is capable of optimizing resource utilization and efficiently securing sensitive data. A decentralized architectural model overcomes the limitations of traditional centralized cloud models, opening the door to innovative cloud computing applications.

Journal of Discrete Mathematical Sciences and CryptographyVol. 28(4-B)
Openalex Percentile: Top 10%
Privacy-Preserving Technologies in Data
2.48
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AI-generated privacy-preserving protocols for cross-cloud data sharing and collaboration — Mohammed Hussein, Asma Ibrahim Hussein, et al. · Journal of Discrete Mathematical Sciences and Cryptography (2025) | TGRS Research Map | TGRS