A Secure and Efficient Public Data Auditing Solution for the Cloud
To protect the security of cloud data, users must verify data integrity using hash-based schemes. However, current schemes create a linear computational overhead based on the size of cloud data. As the demand for big data storage continues to grow, this overhead becomes a significant burden. Improving the efficiency of data auditing schemes has become a critical issue. In response, we propose an efficient data auditing scheme that is independent of file size. This novel scheme involves outsourcing file data to cloud servers and utilizes a Provable Data Possession (PDP) scheme to ensure data integrity without the need for a centralized entity to manage any keys, thus eliminating single points of failure. Furthermore, our proposed scheme eliminates the need to manage public keys, as in traditional public key infrastructure-based schemes. The security of our proposed scheme has been analyzed, and experimental results demonstrate its efficiency.
Authors
- Lipeng Wang (ORCID: https://orcid.org/0000-0003-4113-0373)
- Mingsheng Hu (ORCID: https://orcid.org/0000-0002-7220-1456)
- Shen Liu
- Zhijuan Jia (ORCID: https://orcid.org/0000-0003-4730-2906)
- Hong Wang (ORCID: https://orcid.org/0000-0001-8098-4473)
- Yanyan Yang (ORCID: https://orcid.org/0000-0002-6053-3410)
- Zhong Chen (ORCID: https://orcid.org/0000-0002-5785-2912)
Institutions
- Peking University (CN)
- Zhengzhou Normal University (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/iccsn63464.2024.10793330
- Citations
- 1
- Primary Topic
- Cloud Data Security Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.78
Funders
- Zhengzhou Normal University