Towards Immutability: A Secure and Efficient Auditing Framework for Cloud Supporting Data Integrity and File Version Control

被引:0
作者
Bappy, Faisal Haque [1 ]
Zaman, Saklain [1 ]
Islam, Tariqul [1 ]
Rizvee, Redwan Ahmed [2 ]
Park, Joon S. [1 ]
Hasan, Kamrul [3 ]
机构
[1] Syracuse Univ, Sch Informat Studies iSch, Syracuse, NY 13244 USA
[2] Univ Dhaka, Dhaka, Bangladesh
[3] Tennessee State Univ, Nashville, TN USA
来源
IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM | 2023年
关键词
Centralized Cloud Auditing; Confidentiality; Data Integrity; Immutability; Blockchain; File Version Control; SCHEME;
D O I
10.1109/GLOBECOM54140.2023.10436828
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Although wide-scale integration of cloud services with myriad applications increases quality of services (QoS) for enterprise users, verifying the existence and manipulation of stored cloud information remains an open research problem. Decentralized blockchain-based solutions are becoming more appealing for cloud auditing environments because of the immutable nature of blockchain. However, the decentralized structure of blockchain results in considerable synchronization and communication overhead, which increases maintenance costs for cloud service providers (CSP). This paper proposes a Merkle Hash Tree based architecture named Entangled Merkle Forest to support version control and dynamic auditing of information in centralized cloud environments. We utilized a semi-trusted third-party auditor to conduct the auditing tasks with minimal privacy-preserving file-metadata. To the best of our knowledge, we are the first to design a node sharing Merkle Forest to offer a cost-effective auditing framework for centralized cloud infrastructures while achieving the immutable feature of blockchain, mitigating the synchronization and performance challenges of the decentralized architectures. Our proposed scheme outperforms it's equivalent Blockchain-based schemes by ensuring time and storage efficiency with minimum overhead as evidenced by performance analysis.
引用
收藏
页码:6801 / 6806
页数:6
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