Blockchain-Enhanced Cloud Security: A Scalable Framework with Privacy and Transparency

Cloud computing that is used for data management has proliferated and changed data management, but brings with it serious security challenges such as data breach, unauthorized access, and insider threat. The distributed and dynamic nature of modern cloud environment makes it difficult for centralized cloud security frameworks to address the issue, requiring innovations. Yet, blockchain technology, in its decentralized, immutable, and cryptographically secure ledger applies to fortify the cloud security. Intending to tackle the security problem of chain leveraging, this research advances a hybrid blockchain cloud security framework by proposing smart contracts for automated access control, ZKPs for privacy preserving authentication, and XAI for explanation of the adversarial attack detection. It provides data integrity, puts the access management, and in real time anomaly detection while scalability. Adaptive smart contract policies, ZKP based identity verification and XAI driven insights to foster trust among the stakeholders are the key innovations. Experimental analysis validates that a 20–25% reduction in incident of unauthorized access and a 30% increase in threat detection accuracy are realized, through various attack surfaces, by this new cloud security system in comparison to the traditional cloud security systems. Finally, this work gains significance in advancing secure cloud adoption, which will contribute to global level of cybersecurity resilience and promote the standards for data protection.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-05-02
DOI
https://doi.org/10.71097/ijsat.v16.i2.4395
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain-Enhanced Cloud Security: A Scalable Framework with Privacy and Transparency

Vikash Sharma, Parth Khandelwal, Lata Yadav
International Journal on Science and Technology
Blockchain Technology Applications and Security
article

Blockchain-Enhanced Cloud Security: A Scalable Framework with Privacy and Transparency

Vikash Sharma, Parth Khandelwal, Lata Yadav
article en

Abstract

Cloud computing that is used for data management has proliferated and changed data management, but brings with it serious security challenges such as data breach, unauthorized access, and insider threat. The distributed and dynamic nature of modern cloud environment makes it difficult for centralized cloud security frameworks to address the issue, requiring innovations. Yet, blockchain technology, in its decentralized, immutable, and cryptographically secure ledger applies to fortify the cloud security. Intending to tackle the security problem of chain leveraging, this research advances a hybrid blockchain cloud security framework by proposing smart contracts for automated access control, ZKPs for privacy preserving authentication, and XAI for explanation of the adversarial attack detection. It provides data integrity, puts the access management, and in real time anomaly detection while scalability. Adaptive smart contract policies, ZKP based identity verification and XAI driven insights to foster trust among the stakeholders are the key innovations. Experimental analysis validates that a 20–25% reduction in incident of unauthorized access and a 30% increase in threat detection accuracy are realized, through various attack surfaces, by this new cloud security system in comparison to the traditional cloud security systems. Finally, this work gains significance in advancing secure cloud adoption, which will contribute to global level of cybersecurity resilience and promote the standards for data protection.

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 87%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.