Secure Multi-Cloud Storage Systems Techniques for Data Integrity and Availability

Cloud computing is constantly changing, and the provision of efficient and safe data management has led to a prominent challenge in the virtualization age - security for multi-cloud storage systems. This study provides a holistic way to solve the problems of data security and accessibility in multiple cloud environments. The paper identifies scalable and cost-saving solutions, which promise to make sure data are secure from attacks while also being readable across cloud service providers, reducing the problems of vendor lock-in, latency, and expense. As a solution to mitigating the risk of data loss, data tampering, and data availability challenges, this research proposes an innovative framework that lays out protocols for data integrity verification, unauthorized access prevention, and assurance for continuous data availability, built on the foundation of blockchain technology, real-time monitoring systems, and multi-degree redundancy. In addition, the paper presents cost-effective methods such as deduplication, automated failover mechanisms, hybrid cloud storage architecture allow us to build cheaper, lucid and more efficient systems compared to previous systems. The paper provides novel approaches that contribute towards improving the performance, security and reliability of multi-cloud storage systems, thus helping to overcome the major barriers of cloud computing, the third wave of computing on a data intensity basis, with potential implications for data management in future cloud environments.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-25
DOI
https://doi.org/10.1051/itmconf/20257603008/pdf
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Multi-Cloud Storage Systems Techniques for Data Integrity and Availability

D. Sundaranarayana, Hemant N. Watane, Bala Krishna Reddy V, Prof. Mohit Tiwari et al.
Springer Link (Chiba Institute of Technology)
Cloud Data Security Solutions
article

Secure Multi-Cloud Storage Systems Techniques for Data Integrity and Availability

D. Sundaranarayana, Hemant N. Watane, Bala Krishna Reddy V, Prof. Mohit Tiwari, Sunitha M, Edwin Prabhakar P B
article en

Abstract

Cloud computing is constantly changing, and the provision of efficient and safe data management has led to a prominent challenge in the virtualization age - security for multi-cloud storage systems. This study provides a holistic way to solve the problems of data security and accessibility in multiple cloud environments. The paper identifies scalable and cost-saving solutions, which promise to make sure data are secure from attacks while also being readable across cloud service providers, reducing the problems of vendor lock-in, latency, and expense. As a solution to mitigating the risk of data loss, data tampering, and data availability challenges, this research proposes an innovative framework that lays out protocols for data integrity verification, unauthorized access prevention, and assurance for continuous data availability, built on the foundation of blockchain technology, real-time monitoring systems, and multi-degree redundancy. In addition, the paper presents cost-effective methods such as deduplication, automated failover mechanisms, hybrid cloud storage architecture allow us to build cheaper, lucid and more efficient systems compared to previous systems. The paper provides novel approaches that contribute towards improving the performance, security and reliability of multi-cloud storage systems, thus helping to overcome the major barriers of cloud computing, the third wave of computing on a data intensity basis, with potential implications for data management in future cloud environments.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Cloud Data Security Solutions
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Secure Multi-Cloud Storage Systems Techniques for Data Integrity and Availability — D. Sundaranarayana, Hemant N. Watane, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS