Enabling Fast Public Auditing and Data Dynamics in Cloud Services
- Authors
- Hahn, Changhee; Kwon, Hyunsoo; Kim, Daeyeong; Hur, Junbeom
- Issue Date
- 7월-2022
- Publisher
- IEEE COMPUTER SOC
- Keywords
- Cloud computing; Data privacy; Encryption; Indexes; Metadata; Public auditing; cloud computing; data dynamics; data integrity; security
- Citation
- IEEE TRANSACTIONS ON SERVICES COMPUTING, v.15, no.4, pp.2047 - 2059
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON SERVICES COMPUTING
- Volume
- 15
- Number
- 4
- Start Page
- 2047
- End Page
- 2059
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/143401
- DOI
- 10.1109/TSC.2020.3030947
- ISSN
- 1939-1374
- Abstract
- Public auditing enables efficient integrity checks of data assigned to cloud servers. In this article, we revisit the public auditing for encrypted data, in which a major concern is how to effectively support data dynamics, i.e., data modification, insertion, and deletion. We first determine which factor in existing auditing schemes most limits data dynamics from a cost perspective. We then propose a novel public auditing scheme that provides data dynamics that are orders of magnitude faster than previous methods. Our auditing challenge-response protocol reduces the computation cost of the third-party auditor (TPA) significantly, thus increasing the verification speed for the auditing results. Performance and security analysis demonstrates that the proposed scheme generates minimal computation costs while guaranteeing data integrity and privacy against an untrusted cloud.
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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