Clouseau: Blockchain-based Data Integrity for HDFS Clusters

Konsta, Alyzia; Mytilinis, Ioannis; Doka, Katerina; Niarchos, Sotiris; Koziris, Nectarios

doi:10.1109/icde51399.2021.00314

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Wang et al [23] proposed a personal health record integrity verification scheme using blockchain to store the hash values of encrypted personal health records, with related index sets stored in smart contracts to improve efficiency. Konsta et al [24] presented Clouseau, a blockchain-based system that provides verifiable integrity over a Hadoop Distributed File System (HDFS) with minimal overhead. New database systems, such as Veritas [25], Spitz [26], and ChainifyDB [27], incorporate blockchain technology to further improve storage security based on efficient query performance.…”

Section: B Blockchain Based Solutionsmentioning

confidence: 99%

“…Conversely, some schemes, such as [17] and [20], have good portability but do not use the blockchain for verification. Other schemes use blockchain for verification but lack portability, including [23] and [24] for personal medical data storage and HDFS systems, respectively. The DIV-SC addresses the issue of multiple verification reliability while using the blockchain as a third party, achieving portability, and ensuring the reliability of multiple verifications.…”

Section: B Features Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

A Data Integrity Verification Scheme for Centralized Database Using Smart Contract and Game Theory

Xing

Wang

et al. 2023

IEEE Access

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Currently, many companies and institutions use centralized or distributed databases to store massive amounts of data. However, the use of untrusted centralized third-party auditors can result in security issues because these auditors may be malicious and tamper with or delete user data. This poses a significant challenge for ensuring the reliability of the data verification results. Although introducing a third-party auditor can help address this issue, it may also be untrustworthy and collude with the database service provider to forge false data verification results. In this study, we propose a data integrity verification scheme using smart contracts (DIV-SC) to address this challenge in a centralized database environment. Our approach utilizes blockchain technology as a decentralized third-party auditor, ensuring that the information stored on the blockchain is immutable and cannot be tampered with maliciously. In addition, smart contracts deployed on the blockchain can ensure that the verification procedures are correct and are not affected by any malicious party. We also leverage game theory to improve the reliability of multiple verifications, reduce verification time and improve overall performance. Our proposed scheme reduces the total verification time consumption by up to 53.44% while increasing the number of verifiable times by nearly 3.8 times, compared to conventional data integrity verification schemes.INDEX TERMS Centralized databases, data integrity, blockchain, smart contract, game theory.

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Section: B Blockchain Based Solutionsmentioning

confidence: 99%

Section: B Features Comparisonmentioning

confidence: 99%

A Data Integrity Verification Scheme for Centralized Database Using Smart Contract and Game Theory

Xing

Wang

et al. 2023

IEEE Access

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“…AliNSF et al [3] 2016 Excessive storage consumption Grabis et al [34] 2020 Excessive storage consumption Yang et al [100] 2018 Excessive storage consumption Konsta et al [45] 2021 Excessive storage consumption Ali et al [2] 2019 Excessive storage consumption Eltayieb et al [28] 2020 Excessive storage consumption Qin et al [80] 2021 Excessive storage consumption Chen et al [14] 2017 Excessive storage consumption Data security protection.…”

Section: Target Problem Authors Year Weaknessmentioning

confidence: 99%

“…Through smart contracts, each node in a data-exchange P2P network makes consensus and endorsements for each other, queries the transaction record and checks the payment bill from its local blockchain peer. Same as [100], there are also some other works [2,28,45,80] that use the storage of data on the blockchain and the use of smart contracts for secure cloud data sharing.…”

Section: Target Problem Authors Year Weaknessmentioning

confidence: 99%

A Survey of Blockchain Data Management Systems

Wei¹,

Li²,

Chang³

et al. 2021

Preprint

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Blockchain has been widely deployed in various sectors, such as finance, education, and public services. Since blockchain runs as an immutable distributed ledger, it has decentralized mechanisms with persistency, anonymity, and auditability, where transactions are jointly performed through cryptocurrency-based consensus algorithms by worldwide distributed nodes. There have been many survey papers reviewing the blockchain technologies from different perspectives, e.g., digital currencies, consensus algorithms, and smart contracts. However, none of them have focused on the blockchain data management systems. To fill in this gap, we have conducted a comprehensive survey on the data management systems, based on three typical types of blockchain, i.e., standard blockchain, hybrid blockchain, and DAG (Directed Acyclic Graph)-based blockchain. We categorize their data management mechanisms into three layers: blockchain architecture, blockchain data structure, and blockchain storage engine, where block architecture indicates how to record transactions on a distributed ledger, blockchain data structure refers to the internal structure of each block, and blockchain storage engine specifies the storage form of data on the blockchain system. For each layer, the works advancing the state-of-the-art are discussed together with technical challenges. Furthermore, we lay out the future research directions for the blockchain data management systems.

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