Multi Server Collaborative Auditing in Encrypted Data Storage with Blockchain Technology
DOI:
https://doi.org/10.32628/CSEIT24104121Keywords:
Cloud Framework, User Enrolment, Data Encryption, Data Block Creation, Data AuditingAbstract
Traditional centralized cloud storage systems often face vulnerabilities such as single points of failure, data breaches, and unauthorized access. To address these challenges, this study proposes a blockchain-based approach for secure data storage on the cloud while providing controlled data access. The proposed system leverages the decentralized and immutable nature of blockchain to ensure the integrity and security of stored data. Blockchain technology, known for its decentralized and immutable nature, can enhance the security and transparency of data storage. In this proposed approach, data is encrypted and distributed across multiple nodes in the cloud, eliminating the risk of a single point of failure. The data is then recorded as a series of tamper-proof blocks on a blockchain, ensuring data integrity and preventing unauthorized modifications. Each block includes a hash pointer that links it to the previous block, creating a chain of blocks that forms the blockchain. To ensure data integrity, Third-Party Auditors (TPAs) are introduced. These independent entities perform regular audits on the stored data and verify its integrity against the hashes stored on the blockchain. The TPAs act as trusted entities that ensure the accuracy and consistency of the data, reducing the reliance on the data storage provider. The proposed system enhances the security of data storage by eliminating single points of failure and preventing unauthorized modifications. By leveraging the decentralized and transparent nature of blockchain technology, this approach addresses the limitations of traditional cloud storage systems, providing enhanced security, data integrity, and controlled data access. The proposed system has the potential to revolutionize data storage practices and contribute to the development of more secure and trustworthy cloud storage infrastructures.
Downloads
References
Xu, Yang, Cheng Zhang, Guojun Wang, Zheng Qin, and Quanrun Zeng. "A blockchain-enabled deduplicatable data auditing mechanism for network storage services." IEEE Transactions on Emerging Topics in Computing 9, no. 3 (2020): 1421-1432. DOI: https://doi.org/10.1109/TETC.2020.3005610
Shen, Wenting, Jing Qin, Jia Yu, Rong Hao, Jiankun Hu, and Jixin Ma. "Data integrity auditing without private key storage for secure cloud storage." IEEE Transactions on Cloud Computing 9, no. 4 (2019): 1408-1421. DOI: https://doi.org/10.1109/TCC.2019.2921553
Xu, Yang, Ju Ren, Yan Zhang, Cheng Zhang, Bo Shen, and Yaoxue Zhang. "Blockchain empowered arbitrable data auditing scheme for network storage as a service." IEEE Transactions on Services Computing 13, no. 2 (2019): 289-300. DOI: https://doi.org/10.1109/TSC.2019.2953033
Yang, Xiaodong, Xizhen Pei, Meiding Wang, Ting Li, and Caifen Wang. "Multi-replica and multi-cloud data public audit scheme based on blockchain." IEEE Access 8 (2020): 144809-144822. DOI: https://doi.org/10.1109/ACCESS.2020.3014510
Xue, Jingting, Chunxiang Xu, Jining Zhao, and Jianfeng Ma. "Identity-based public auditing for cloud storage systems against malicious auditors via blockchain." Science China Information Sciences 62 (2019): 1-16. DOI: https://doi.org/10.1007/s11432-018-9462-0
Zhang, Yuan, Chunxiang Xu, Xiaodong Lin, and Xuemin Shen. "Blockchain-based public integrity verification for cloud storage against procrastinating auditors." IEEE Transactions on Cloud Computing 9, no. 3 (2019): 923-937. DOI: https://doi.org/10.1109/TCC.2019.2908400
Li, Jiguo, Hao Yan, and Yichen Zhang. "Efficient identity-based provable multi-copy data possession in multi-cloud storage." IEEE Transactions on Cloud Computing 10, no. 1 (2019): 356-365. DOI: https://doi.org/10.1109/TCC.2019.2929045
Tian, Hui, Fulin Nan, Hong Jiang, Chin-Chen Chang, Jianting Ning, and Yongfeng Huang. "Public auditing for shared cloud data with efficient and secure group management." Information Sciences 472 (2019): 107-125. DOI: https://doi.org/10.1016/j.ins.2018.09.009
Li, Jiaxing, Jigang Wu, Guiyuan Jiang, and Thambipillai Srikanthan. "Blockchain-based public auditing for big data in cloud storage." Information Processing & Management 57, no. 6 (2020): 102382. DOI: https://doi.org/10.1016/j.ipm.2020.102382
Rajput, Ahmed Raza, Qianmu Li, and Milad Taleby Ahvanooey. "A blockchain-based secret-data sharing framework for personal health records in emergency condition." In Healthcare, vol. 9, no. 2, p. 206. MDPI, 2021. DOI: https://doi.org/10.3390/healthcare9020206
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
