Szczegóły publikacji
Opis bibliograficzny
Improved cloud storage auditing scheme with deduplication / Jindan Zhang, Urszula OGIELA, David Taniar, Nadia Nedjah // Mathematical Biosciences and Engineering ; ISSN 1547-1063. — 2023 — vol. 20 iss. 5, s. 7905–7921. — Bibliogr. s. 7918–7921, Abstr. — Publikacja dostępna online od: 2023-02-22
Autorzy (4)
- Zhang Jindan
- AGHOgiela Urszula
- Taniar David
- Nedjah Nadia
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 146465 |
|---|---|
| Data dodania do BaDAP | 2023-05-10 |
| Tekst źródłowy | URL |
| DOI | 10.3934/mbe.2023342 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Mathematical Biosciences and Engineering |
Abstract
Cloud storage has become a crucial service for many users who deal with big data. The auditing scheme for cloud storage is a mechanism that checks the integrity of outsourced data. Cloud storage deduplication is a technique that helps cloud service providers save on storage costs by storing only one copy of a file when multiple users outsource the same file to cloud servers. However, combining storage auditing and deduplication techniques can be challenging. To address this challenge, in 2019 Hou et al. proposed a cloud storage auditing scheme with deduplication that supports different security levels of data popularity. This proposal is interesting and has practical applications. However, in this paper, we show that their proposal has a flaw: the cloud or other adversaries can easily forge the data block’s authenticators, which means the cloud can delete all the outsourced encrypted data blocks but still provide correct storage proof for the third-party auditor. Based on Hou et al.’s scheme, we propose an improved cloud storage auditing scheme with deduplication and analyze its security. The results show that the proposed scheme is more secure.