Blockchain-Based Shared Data Integrity Auditing and Deduplication

被引:0
|
作者
Miao, Ying [1 ]
Gai, Keke [1 ]
Zhu, Liehuang [1 ]
Choo, Kim-Kwang Raymond [2 ]
Vaidya, Jaideep [3 ]
机构
[1] Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
[2] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA
[3] Rutgers State Univ, Management Sci & Informat Syst Dept, Newark, NJ 07102 USA
基金
中国国家自然科学基金;
关键词
Data integrity; Servers; Blockchains; Cloud computing; Encryption; Costs; Maximum likelihood estimation; Data deduplication; key deduplication; tag deduplication; batch auditing; blockchain; ENCRYPTED DEDUPLICATION; SECURE DEDUPLICATION; CLOUD; SCHEME; OWNERSHIP; FILE; KEY;
D O I
10.1109/TDSC.2023.3335413
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Data deduplication and integrity auditing based blockchain plays an important role in guaranteeing secure and efficient cloud storage services. However, existing data deduplication schemes support auditing either with the assistance of a trust center (key server or third-party auditor) or bear the waste of computation and storage resources caused by repetitive authenticators storage and key storage. In this paper, we propose a blockchain-based shared data integrity auditing and deduplication scheme. Specifically, we propose a deduplication protocol based on ID-based broadcast encryption without key servers and achieve key deduplication on the user side. Next, we propose a data integrity auditing protocol by using the characteristic of convergent encryption to achieve authenticator deduplication on the cloud service provider side. Besides, we achieve decentralized data integrity auditing based blockchain without relying on a single trusted third-party auditor and improve the credibility of the auditing result. On this basis, we propose two bath auditing protocols for different scenarios to improve efficiency. Security and performance analysis demonstrates that the authenticators' storage cost on the cloud storage provider side can be reduced from O(F) to O(1) and the key storage cost on the user side can be reduced from O(F) to O(1) as well.
引用
收藏
页码:3688 / 3703
页数:16
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