A Survey of Blockchain Data Management Systems

Wei, Qian; Li, Bingzhe; Chang, Wanli; Jia, Zhiping; Shen, Zhaoyan; Shao, Zehui

doi:10.1145/3502741

Cited by 24 publications

(5 citation statements)

References 71 publications

(98 reference statements)

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“…is system could guarantee enhanced rate of data privacy. To address the challenging issues of data security maintenance and data sharing that impede big data advancement, a blockchain-based access management framework for enhancing big data platform privacy plays a significant role [15]. In the meanwhile, health chain splits transaction for publishing info from transactions for good data access, and encrypts the data as stored within IPFS, decreasing connection and computation costs while ensuring privacy [16,17].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Subathra

Antonidoss

Singh

2022

Security and Communication Networks

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By the development and advancement of blockchain technique, Internet of Things (IoT) proliferation driven devices and the application of blockchain-enabled IoT alter the view and operating infrastructure of the smart networks. The blockchain is responsible for supporting decentralized systems and offers secured means of authentication, management, and access to IoT system thereby deploying smart contracts offered by Ethereum. The increasing demand and the blockchain expansion generate huge volume of sensitive data. The growing demand and expansion of blockchain-IoT systems is generating large volume of sensitive data. Furthermore, distributed denial-of-service (DDoS) attacks are regarded as the most promising threats for smart contracts in the blockchain-based systems. Therefore, there is a need to detect and classify the attack type and the data should be stored in server more securely with the use of blockchain and data aggregation method. For this purpose, this presented technique aims at introducing decentralized consensus blockchain and Interplanetary file system (IPFS) based data aggregation for effective classification and data storage. The attack is detected using meta-hyperparameter random forest (MHP-RF) classifier. Once the attack is detected, the transaction information is stored in server securely by means of smart contract-based blockchain system. The transaction handling stage classifies the transaction type as normal or abnormal one which then followed by execution of business logic by smart contract thereby appending the transaction of blockchain in the network cloud. The consensus blockchain technique is employed with the use of PoW-enabled scheme integrated with Elgamal-based data aggregation. Therefore, the system security is improved and the intrusion is prevented greatly. The performance analysis of the system is analyzed in terms of accuracy, precision, recall, F-score, Encryption time, decryption time, execution time, and space complexity. The attained outcomes are compared with traditional approaches to prove the effectiveness of proposed strategy. The proposed system is said to be effective in time consumption, classifier performance, and in overcoming space complexity issues.

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Section: Introductionmentioning

confidence: 99%

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Subathra

Antonidoss

Singh

2022

Security and Communication Networks

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“…In the process of data transactions, various technical means need to be applied to protect data security and the rights of data rights holders. Currently, technologies such as privacy computing 16 , blockchain 17 , and digital watermarking 18 , 19 can support the platform's data protection efforts, set up the platform's data protection system, and consider data security and compliance when conducting transactions.…”

Section: Literature Reviewmentioning

confidence: 99%

A road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation

Li,

Chu,

Wang

et al. 2024

Sci Rep

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This paper constructs a two-layer road data asset revenue allocation model based on a modified Shapley value approach. The first layer allocates revenue to three roles in the data value realization process: the original data collectors, the data processors, and the data product producers. It fully considers and appropriately adjusts the revenue allocation to each role based on data risk factors. The second layer determines the correction factors for different roles to distribute revenue among the participants within those roles. Finally, the revenue values of the participants within each role are synthesized to obtain a consolidated revenue distribution for each participant. Compared to the traditional Shapley value method, this model establishes a revenue allocation evaluation index system, uses entropy weighting and rough set theory to determine the weights, and adopts a fuzzy comprehensive evaluation and numerical analysis to assess the degree of contribution of participants. It fully accounts for differences in both the qualitative and quantitative contributions of participants, enabling a fairer and more reasonable distribution of revenues. This study provides new perspectives and methodologies for the benefit distribution mechanism in road data assets, which aid in promoting the market-based use of road data assets, and it serves as an important reference for the application of data assetization in the road transportation industry.

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“…Therefore, various researchers [ 9 , 10 , 11 ] have proposed the use of blockchain-based agricultural product traceability. Blockchain [ 12 ] is a distributed ledger technology that records transactions and information through a series of inter-connected blocks. Blockchains maintain and verify data through entities in the network and are highly stable and secure [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

A Redactable Blockchain-Based Data Management Scheme for Agricultural Product Traceability

Yang,

Li,

Chen

et al. 2024

Sensors

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With the development of agricultural information technology, the Internet of Things and blockchain have become important in the traceability of agricultural products. Sensors collect real-time data in agricultural production and a blockchain provides a secure and transparent storage medium for these data, which improves the transparency and credibility of agricultural product traceability. However, existing agricultural product traceability solutions are limited by the immutability of the blockchain, making it difficult to delete erroneous data and modify the scope of data sharing. This damages the credibility of traceability data and is not conducive to the exchange and sharing of information among enterprises. In this article, we propose an agricultural product traceability data management scheme based on a redactable blockchain. This scheme allows agricultural enterprises to encrypt data to protect privacy. In order to facilitate the maintenance and sharing of data, we introduce a chameleon hash function to provide data modification capabilities. Enterprises can fix erroneous data and update the access permissions of the data. To improve the efficiency of block editing, our scheme adopts a distributed block editing method. This method supports threshold editing operations, avoiding single-point-of-failure issues. We save records of data modifications on the blockchain and establish accountability mechanisms to identify malicious entities. Finally, in this paper we provide a security analysis of our proposed solution and verify its effectiveness through experiments. Compared with the existing scheme, the block generating speed is improved by 42% and the block editing speed is improved by 29.3% at 125 nodes.

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A Survey of Blockchain Data Management Systems

Cited by 24 publications

References 71 publications

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

A road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation

A Redactable Blockchain-Based Data Management Scheme for Agricultural Product Traceability

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